Next changeset 1:46454f9d8e4f (2018-08-04) |
Commit message:
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 8cbb681224f23fa95783514f949c97d6c2c60966 |
added:
README.rst main_macros.xml svm.xml test-data/RF01704.fasta test-data/accuracy_score.txt test-data/auc.txt test-data/average_precision_score.txt test-data/blobs.txt test-data/brier_score_loss.txt test-data/circles.txt test-data/class.txt test-data/classification_report.txt test-data/cluster_result01.txt test-data/cluster_result02.txt test-data/cluster_result03.txt test-data/cluster_result04.txt test-data/cluster_result05.txt test-data/cluster_result06.txt test-data/cluster_result07.txt test-data/cluster_result08.txt test-data/cluster_result09.txt test-data/cluster_result10.txt test-data/cluster_result11.txt test-data/cluster_result12 test-data/cluster_result12.txt test-data/cluster_result13.txt test-data/cluster_result14.txt test-data/cluster_result15.txt test-data/cluster_result16.txt test-data/cluster_result17.txt test-data/cluster_result18.txt test-data/cluster_result19.txt test-data/cluster_result20.txt test-data/cluster_result21.txt test-data/confusion_matrix.txt test-data/converter_result01.json test-data/converter_result02.json test-data/csc_sparse1.mtx test-data/csc_sparse2.mtx test-data/csc_stack_result01.mtx test-data/csr_sparse1.mtx test-data/csr_sparse2.mtx test-data/csr_stack_result01.mtx test-data/empty_file.txt test-data/f1_score.txt test-data/fbeta_score.txt test-data/feature_selection_result01 test-data/feature_selection_result02 test-data/feature_selection_result03 test-data/feature_selection_result04 test-data/feature_selection_result05 test-data/feature_selection_result06 test-data/feature_selection_result07 test-data/feature_selection_result08 test-data/feature_selection_result09 test-data/feature_selection_result10 test-data/feature_selection_result11 test-data/feature_selection_result12 test-data/friedman1.txt test-data/friedman2.txt test-data/friedman3.txt test-data/gaus.txt test-data/gbc_model01 test-data/gbc_result01 test-data/gbr_model01 test-data/gbr_prediction_result01.tabular test-data/glm_model01 test-data/glm_model02 test-data/glm_model03 test-data/glm_model04 test-data/glm_model05 test-data/glm_model06 test-data/glm_model07 test-data/glm_model08 test-data/glm_result01 test-data/glm_result02 test-data/glm_result03 test-data/glm_result04 test-data/glm_result05 test-data/glm_result06 test-data/glm_result07 test-data/glm_result08 test-data/hamming_loss.txt test-data/hastie.txt test-data/hinge_loss.txt test-data/jaccard_similarity_score.txt test-data/lda_model01 test-data/lda_model02 test-data/lda_prediction_result01.tabular test-data/lda_prediction_result02.tabular test-data/log_loss.txt test-data/matthews_corrcoef.txt test-data/moons.txt test-data/mv_result01.tabular test-data/mv_result02.tabular test-data/mv_result03.tabular test-data/mv_result04.tabular test-data/mv_result05.tabular test-data/mv_result06.tabular test-data/nn_model01.txt test-data/nn_model02.txt test-data/nn_model03.txt test-data/nn_prediction_result01.tabular test-data/nn_prediction_result02.tabular test-data/nn_prediction_result03.tabular test-data/numeric_values.tabular test-data/pipeline01 test-data/pipeline02 test-data/pipeline03 test-data/pipeline04 test-data/pipeline05 test-data/pipeline06 test-data/pipeline07 test-data/pipeline08 test-data/precision_recall_curve.txt test-data/precision_recall_fscore_support.txt test-data/precision_score.txt test-data/prp_model01 test-data/prp_model02 test-data/prp_model03 test-data/prp_model04 test-data/prp_model05 test-data/prp_model06 test-data/prp_model07 test-data/prp_model08 test-data/prp_model09 test-data/prp_result01 test-data/prp_result02 test-data/prp_result03 test-data/prp_result04 test-data/prp_result05 test-data/prp_result06 test-data/prp_result07 test-data/prp_result08 test-data/prp_result09 test-data/pw_metric01.tabular test-data/pw_metric02.tabular test-data/pw_metric03.tabular test-data/qda_model01 test-data/qda_prediction_result01.tabular test-data/recall_score.txt test-data/regression.txt test-data/regression_X.tabular test-data/regression_metrics_result01 test-data/regression_metrics_result02 test-data/regression_metrics_result03 test-data/regression_metrics_result04 test-data/regression_metrics_result05 test-data/regression_metrics_result06 test-data/regression_test.tabular test-data/regression_test_X.tabular test-data/regression_test_y.tabular test-data/regression_train.tabular test-data/regression_y.tabular test-data/rfc_model01 test-data/rfc_result01 test-data/rfc_result02 test-data/rfr_model01 test-data/rfr_result01 test-data/roc_auc_score.txt test-data/roc_curve.txt test-data/scurve.txt test-data/searchCV01 test-data/sparse.mtx test-data/sparse_u.txt test-data/svc_model01.txt test-data/svc_model02.txt test-data/svc_model03.txt test-data/svc_prediction_result01.tabular test-data/svc_prediction_result02.tabular test-data/svc_prediction_result03.tabular test-data/swiss_r.txt test-data/test.tabular test-data/test2.tabular test-data/test3.tabular test-data/test_set.tabular test-data/train.tabular test-data/train_set.tabular test-data/vectorizer_result01.mtx test-data/vectorizer_result02.mtx test-data/vectorizer_result03.mtx test-data/vectorizer_result04.mtx test-data/y.tabular test-data/zero_one_loss.txt |
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diff -r 000000000000 -r 7bee4014724a README.rst --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/README.rst Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,150 @@ +*************** +Galaxy wrapper for scikit-learn library +*************** + +Contents +======== +- `What is scikit-learn?`_ + - `Scikit-learn main package groups`_ + - `Tools offered by this wrapper`_ + +- `Machine learning workflows`_ + - `Supervised learning workflows`_ + - `Unsupervised learning workflows`_ + + +____________________________ + + +.. _What is scikit-learn? + +What is scikit-learn? +=========================== + +Scikit-learn is an open-source machine learning library for the Python programming language. It offers various algorithms for performing supervised and unsupervised learning as well as data preprocessing and transformation, model selection and evaluation, and dataset utilities. It is built upon SciPy (Scientific Python) library. + +Scikit-learn source code can be accessed at https://github.com/scikit-learn/scikit-learn. +Detailed installation instructions can be found at http://scikit-learn.org/stable/install.html + + +.. _Scikit-learn main package groups: + +====== +Scikit-learn main package groups +====== + +Scikit-learn provides the users with several main groups of related operations. +These are: + +- Classification + - Identifying to which category an object belongs. +- Regression + - Predicting a continuous-valued attribute associated with an object. +- Clustering + - Automatic grouping of similar objects into sets. +- Preprocessing + - Feature extraction and normalization. +- Model selection and evaluation + - Comparing, validating and choosing parameters and models. +- Dimensionality reduction + - Reducing the number of random variables to consider. + +Each group consists of a number of well-known algorithms from the category. For example, one can find hierarchical, spectral, kmeans, and other clustering methods in sklearn.cluster package. + + +.. _Tools offered by this wrapper: + +=================== +Available tools in the current wrapper +=================== + +The current release of the wrapper offers a subset of the packages from scikit-learn library. You can find: + +- A subset of classification metric functions +- Linear and quadratic discriminant classifiers +- Random forest and Ada boost classifiers and regressors +- All the clustering methods +- All support vector machine classifiers +- A subset of data preprocessing estimator classes +- Pairwise metric measurement functions + +In addition, several tools for performing matrix operations, generating problem-specific datasets, and encoding text and extracting features have been prepared to help the user with more advanced operations. + +.. _Machine learning workflows: + +Machine learning workflows +=============== + +Machine learning is about processes. No matter what machine learning algorithm we use, we can apply typical workflows and dataflows to produce more robust models and better predictions. +Here we discuss supervised and unsupervised learning workflows. + +.. _Supervised learning workflows: + +=================== +Supervised machine learning workflows +=================== + +**What is supervised learning?** + +In this machine learning task, given sample data which are labeled, the aim is to build a model which can predict the labels for new observations. +In practice, there are five steps which we can go through to start from raw input data and end up getting reasonable predictions for new samples: + +1. Preprocess the data:: + + * Change the collected data into the proper format and datatype. + * Adjust the data quality by filling the missing values, performing + required scaling and normalizations, etc. + * Extract features which are the most meaningfull for the learning task. + * Split the ready dataset into training and test samples. + +2. Choose an algorithm:: + + * These factors help one to choose a learning algorithm: + - Nature of the data (e.g. linear vs. nonlinear data) + - Structure of the predicted output (e.g. binary vs. multilabel classification) + - Memory and time usage of the training + - Predictive accuracy on new data + - Interpretability of the predictions + +3. Choose a validation method + + Every machine learning model should be evaluated before being put into practicical use. + There are numerous performance metrics to evaluate machine learning models. + For supervised learning, usually classification or regression metrics are used. + + A validation method helps to evaluate the performance metrics of a trained model in order + to optimize its performance or ultimately switch to a more efficient model. + Cross-validation is a known validation method. + +4. Fit a model + + Given the learning algorithm, validation method, and performance metric(s) + repeat the following steps:: + + * Train the model. + * Evaluate based on metrics. + * Optimize unitl satisfied. + +5. Use fitted model for prediction:: + + This is a final evaluation in which, the optimized model is used to make predictions + on unseen (here test) samples. After this, the model is put into production. + +.. _Unsupervised learning workflows: + +======================= +Unsupervised machine learning workflows +======================= + +**What is unsupervised learning?** + +Unlike supervised learning and more liklely in real life, here the initial data is not labeled. +The task is to extract the structure from the data and group the samples based on their similarities. +Clustering and dimensionality reduction are two famous examples of unsupervised learning tasks. + +In this case, the workflow is as follows:: + + * Preprocess the data (without splitting to train and test). + * Train a model. + * Evaluate and tune parameters. + * Analyse the model and test on real data. |
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diff -r 000000000000 -r 7bee4014724a main_macros.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/main_macros.xml Sat Aug 04 12:46:28 2018 -0400 |
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b'@@ -0,0 +1,1515 @@\n+<macros>\n+ <token name="@VERSION@">0.9</token>\n+\n+ <token name="@COLUMNS_FUNCTION@">\n+def read_columns(f, c=None, c_option=\'by_index_number\', return_df=False, **args):\n+ data = pandas.read_csv(f, **args)\n+ if c_option == \'by_index_number\':\n+ cols = list(map(lambda x: x - 1, c))\n+ data = data.iloc[:,cols]\n+ if c_option == \'all_but_by_index_number\':\n+ cols = list(map(lambda x: x - 1, c))\n+ data.drop(data.columns[cols], axis=1, inplace=True)\n+ if c_option == \'by_header_name\':\n+ cols = [e.strip() for e in c.split(\',\')]\n+ data = data[cols]\n+ if c_option == \'all_but_by_header_name\':\n+ cols = [e.strip() for e in c.split(\',\')]\n+ data.drop(cols, axis=1, inplace=True)\n+ y = data.values\n+ if return_df:\n+ return y, data\n+ else:\n+ return y\n+ return y\n+ </token>\n+\n+## generate an instance for one of sklearn.feature_selection classes\n+ <token name="@FEATURE_SELECTOR_FUNCTION@">\n+def feature_selector(inputs):\n+ selector = inputs["selected_algorithm"]\n+ selector = getattr(sklearn.feature_selection, selector)\n+ options = inputs["options"]\n+\n+ if inputs[\'selected_algorithm\'] == \'SelectFromModel\':\n+ if not options[\'threshold\'] or options[\'threshold\'] == \'None\':\n+ options[\'threshold\'] = None\n+ if inputs[\'model_inputter\'][\'input_mode\'] == \'prefitted\':\n+ model_file = inputs[\'model_inputter\'][\'fitted_estimator\']\n+ with open(model_file, \'rb\') as model_handler:\n+ fitted_estimator = pickle.load(model_handler)\n+ new_selector = selector(fitted_estimator, prefit=True, **options)\n+ else:\n+ estimator_json = inputs[\'model_inputter\']["estimator_selector"]\n+ estimator = get_estimator(estimator_json)\n+ new_selector = selector(estimator, **options)\n+\n+ elif inputs[\'selected_algorithm\'] in [\'RFE\', \'RFECV\']:\n+ if \'scoring\' in options and (not options[\'scoring\'] or options[\'scoring\'] == \'None\'):\n+ options[\'scoring\'] = None\n+ estimator=get_estimator(inputs["estimator_selector"])\n+ new_selector = selector(estimator, **options)\n+\n+ elif inputs[\'selected_algorithm\'] == "VarianceThreshold":\n+ new_selector = selector(**options)\n+\n+ else:\n+ score_func = inputs["score_func"]\n+ score_func = getattr(sklearn.feature_selection, score_func)\n+ new_selector = selector(score_func, **options)\n+\n+ return new_selector\n+ </token>\n+\n+ <token name="@GET_X_y_FUNCTION@">\n+def get_X_y(params, file1, file2):\n+ input_type = params["selected_tasks"]["selected_algorithms"]["input_options"]["selected_input"]\n+ if input_type=="tabular":\n+ header = \'infer\' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header1"] else None\n+ column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["selected_column_selector_option"]\n+ if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]:\n+ c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_1"]["col1"]\n+ else:\n+ c = None\n+ X = read_columns(\n+ file1,\n+ c = c,\n+ c_option = column_option,\n+ sep=\'\\t\',\n+ header=header,\n+ parse_dates=True\n+ )\n+ else:\n+ X = mmread(file1)\n+\n+ header = \'infer\' if params["selected_tasks"]["selected_algorithms"]["input_options"]["header2"] else None\n+ column_option = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["selected_column_selector_option2"]\n+ if column_option in ["by_index_number", "all_but_by_index_number", "by_header_name", "all_but_by_header_name"]:\n+ c = params["selected_tasks"]["selected_algorithms"]["input_options"]["column_selector_options_2"]["col2"]\n+ else:\n+ c = None\n+ y = read_columns(\n+ file2,\n+ c = c,\n+ c_option = column_option,\n+ sep=\'\\t\',\n+ header=header,\n+ parse_dates=True\n+ )\n+ y=y.ravel()\n+ return X, y\n+ </token>\n+\n+ <token name="@GET_SEARCH_PARAMS_FUNCTIO'..b'"Type in maxtrix decomposition parameters:"\n+ help="Parameters in dictionary without braces (\'{}\'), e.g., \'n_components\': 100, \'init\': \'random\'. No double quotes. Leave this box blank for class default."/>\n+ </when>\n+ <when value="PCA">\n+ <expand macro="estimator_params_text" label="Type in maxtrix decomposition parameters:"\n+ help="Parameters in dictionary without braces (\'{}\'), e.g., \'n_components\': 100, \'random_state\': 42. No double quotes. Leave this box blank for class default."/>\n+ </when>\n+ <when value="SparsePCA">\n+ <expand macro="estimator_params_text" label="Type in maxtrix decomposition parameters:"\n+ help="Parameters in dictionary without braces (\'{}\'), e.g., \'n_components\': 100, \'random_state\': 42. No double quotes. Leave this box blank for class default."/>\n+ </when>\n+ <when value="SparseCoder">\n+ <expand macro="estimator_params_text" label="Type in maxtrix decomposition parameters:"\n+ help="Parameters in dictionary without braces (\'{}\'), e.g., \'transform_algorithm\': \'omp\', \'transform_alpha\': 1.0. No double quotes. Leave this box blank for class default."/>\n+ </when>\n+ <when value="TruncatedSVD">\n+ <expand macro="estimator_params_text" label="Type in maxtrix decomposition parameters:"\n+ help="Parameters in dictionary without braces (\'{}\'), e.g., \'n_components\': 2, \'algorithm\': \'randomized\'. No double quotes. Leave this box blank for default estimator."/>\n+ </when>\n+ </conditional>\n+ </xml>\n+\n+ <xml name="FeatureAgglomeration">\n+ <conditional name="FeatureAgglomeration_selector">\n+ <param name="select_algorithm" type="select" label="Choose the algorithm:">\n+ <option value="FeatureAgglomeration" selected="true">FeatureAgglomeration</option>\n+ </param>\n+ <when value="FeatureAgglomeration">\n+ <expand macro="estimator_params_text" label="Type in parameters:"\n+ help="Parameters in dictionary without braces (\'{}\'), e.g., \'n_clusters\': 2, \'affinity\': \'euclidean\'. No double quotes. Leave this box blank for class default."/>\n+ </when>\n+ </conditional>\n+ </xml>\n+ <!-- Outputs -->\n+\n+ <xml name="output">\n+ <outputs>\n+ <data format="tabular" name="outfile_predict">\n+ <filter>selected_tasks[\'selected_task\'] == \'load\'</filter>\n+ </data>\n+ <data format="zip" name="outfile_fit">\n+ <filter>selected_tasks[\'selected_task\'] == \'train\'</filter>\n+ </data>\n+ </outputs>\n+ </xml>\n+\n+ <!--Citations-->\n+ <xml name="eden_citation">\n+ <citations>\n+ <citation type="doi">10.5281/zenodo.15094</citation>\n+ </citations>\n+ </xml>\n+\n+ <xml name="sklearn_citation">\n+ <citations>\n+ <citation type="bibtex">\n+ @article{scikit-learn,\n+ title={Scikit-learn: Machine Learning in {P}ython},\n+ author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.\n+ and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.\n+ and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and\n+ Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},\n+ journal={Journal of Machine Learning Research},\n+ volume={12},\n+ pages={2825--2830},\n+ year={2011}\n+ url = {https://github.com/scikit-learn/scikit-learn}\n+ }\n+ </citation>\n+ </citations>\n+ </xml>\n+\n+ <xml name="scipy_citation">\n+ <citations>\n+ <citation type="bibtex">\n+ @Misc{,\n+ author = {Eric Jones and Travis Oliphant and Pearu Peterson and others},\n+ title = {{SciPy}: Open source scientific tools for {Python}},\n+ year = {2001--},\n+ url = "http://www.scipy.org/",\n+ note = {[Online; accessed 2016-04-09]}\n+ }\n+ </citation>\n+ </citations>\n+ </xml>\n+\n+</macros>\n' |
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diff -r 000000000000 -r 7bee4014724a svm.xml --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/svm.xml Sat Aug 04 12:46:28 2018 -0400 |
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b'@@ -0,0 +1,201 @@\n+<tool id="sklearn_svm_classifier" name="Support vector machines (SVMs)" version="@VERSION@">\n+ <description>for classification</description>\n+ <macros>\n+ <import>main_macros.xml</import>\n+ <!-- macro name="class_weight" argument="class_weight"-->\n+ </macros>\n+ <expand macro="python_requirements"/>\n+ <expand macro="macro_stdio"/>\n+ <version_command>echo "@VERSION@"</version_command>\n+ <command><![CDATA[\n+ python \'$svc_script\' \'$inputs\'\n+]]>\n+ </command>\n+ <configfiles>\n+ <inputs name="inputs"/>\n+ <configfile name="svc_script">\n+<![CDATA[\n+import sys\n+import json\n+import numpy as np\n+import sklearn.svm\n+import pandas\n+import pickle\n+\n+@COLUMNS_FUNCTION@\n+@GET_X_y_FUNCTION@\n+\n+input_json_path = sys.argv[1]\n+with open(input_json_path, "r") as param_handler:\n+ params = json.load(param_handler)\n+\n+#if $selected_tasks.selected_task == "load":\n+\n+with open("$infile_model", \'rb\') as model_handler:\n+ classifier_object = pickle.load(model_handler)\n+\n+header = \'infer\' if params["selected_tasks"]["header"] else None\n+data = pandas.read_csv("$selected_tasks.infile_data", sep=\'\\t\', header=header, index_col=None, parse_dates=True, encoding=None, tupleize_cols=False)\n+prediction = classifier_object.predict(data)\n+prediction_df = pandas.DataFrame(prediction)\n+res = pandas.concat([data, prediction_df], axis=1)\n+res.to_csv(path_or_buf = "$outfile_predict", sep="\\t", index=False)\n+\n+#else:\n+\n+X, y = get_X_y(params, "$selected_tasks.selected_algorithms.input_options.infile1" ,"$selected_tasks.selected_algorithms.input_options.infile2")\n+\n+options = params["selected_tasks"]["selected_algorithms"]["options"]\n+selected_algorithm = params["selected_tasks"]["selected_algorithms"]["selected_algorithm"]\n+\n+if not(selected_algorithm=="LinearSVC"):\n+ if options["kernel"]:\n+ options["kernel"] = str(options["kernel"])\n+\n+my_class = getattr(sklearn.svm, selected_algorithm)\n+classifier_object = my_class(**options)\n+classifier_object.fit(X, y)\n+\n+with open("$outfile_fit", \'wb\') as out_handler:\n+ pickle.dump(classifier_object, out_handler)\n+\n+#end if\n+\n+]]>\n+ </configfile>\n+ </configfiles>\n+ <inputs>\n+ <expand macro="sl_Conditional" model="zip">\n+ <param name="selected_algorithm" type="select" label="Classifier type">\n+ <option value="SVC">C-Support Vector Classification</option>\n+ <option value="NuSVC">Nu-Support Vector Classification</option>\n+ <option value="LinearSVC">Linear Support Vector Classification</option>\n+ </param>\n+ <when value="SVC">\n+ <expand macro="sl_mixed_input"/>\n+ <expand macro="svc_advanced_options">\n+ <expand macro="C"/>\n+ </expand>\n+ </when>\n+ <when value="NuSVC">\n+ <expand macro="sl_mixed_input"/>\n+ <expand macro="svc_advanced_options">\n+ <param argument="nu" type="float" optional="true" value="0.5" label="Nu control parameter" help="Controls the number of support vectors. Should be in the interval (0, 1]. "/>\n+ </expand>\n+ </when>\n+ <when value="LinearSVC">\n+ <expand macro="sl_mixed_input"/>\n+ <section name="options" title="Advanced Options" expanded="False">\n+ <expand macro="C"/>\n+ <expand macro="tol" default_value="0.001" help_text="Tolerance for stopping criterion. "/>\n+ <expand macro="random_state" help_text="Integer number. The seed of the pseudo random number generator to use when shuffling the data for probability estimation. A fixed seed allows reproducible results."/>\n+ <!--expand macro="class_weight"/-->\n+ <param argument="max_iter" type="integer" optional="true" value="1000" label="Maximum number of iterations" help="The maximum number of itera'..b' <param name="col1" value="1,2,3,4"/>\n+ <param name="col2" value="5"/>\n+ <param name="selected_task" value="train"/>\n+ <param name="selected_algorithm" value="SVC"/>\n+ <param name="random_state" value="5"/>\n+ <output name="outfile_fit" file="svc_model01.txt"/>\n+ </test>\n+ <test>\n+ <param name="infile1" value="train_set.tabular" ftype="tabular"/>\n+ <param name="infile2" value="train_set.tabular" ftype="tabular"/>\n+ <param name="header1" value="True"/>\n+ <param name="header2" value="True"/>\n+ <param name="col1" value="1,2,3,4"/>\n+ <param name="col2" value="5"/>\n+ <param name="selected_task" value="train"/>\n+ <param name="selected_algorithm" value="NuSVC"/>\n+ <param name="random_state" value="5"/>\n+ <output name="outfile_fit" file="svc_model02.txt"/>\n+ </test>\n+ <test>\n+ <param name="infile1" value="train_set.tabular" ftype="tabular"/>\n+ <param name="infile2" value="train_set.tabular" ftype="tabular"/>\n+ <param name="header1" value="True"/>\n+ <param name="header2" value="True"/>\n+ <param name="col1" value="1,2,3,4"/>\n+ <param name="col2" value="5"/>\n+ <param name="selected_task" value="train"/>\n+ <param name="selected_algorithm" value="LinearSVC"/>\n+ <param name="random_state" value="5"/>\n+ <output name="outfile_fit" file="svc_model03.txt"/>\n+ </test>\n+ <test>\n+ <param name="infile_model" value="svc_model01.txt" ftype="txt"/>\n+ <param name="infile_data" value="test_set.tabular" ftype="tabular"/>\n+ <param name="header" value="True"/>\n+ <param name="selected_task" value="load"/>\n+ <output name="outfile_predict" file="svc_prediction_result01.tabular"/>\n+ </test>\n+ <test>\n+ <param name="infile_model" value="svc_model02.txt" ftype="txt"/>\n+ <param name="infile_data" value="test_set.tabular" ftype="tabular"/>\n+ <param name="header" value="True"/>\n+ <param name="selected_task" value="load"/>\n+ <output name="outfile_predict" file="svc_prediction_result02.tabular"/>\n+ </test>\n+ <test>\n+ <param name="infile_model" value="svc_model03.txt" ftype="txt"/>\n+ <param name="infile_data" value="test_set.tabular" ftype="tabular"/>\n+ <param name="header" value="True"/>\n+ <param name="selected_task" value="load"/>\n+ <output name="outfile_predict" file="svc_prediction_result03.tabular"/>\n+ </test>\n+ </tests>\n+ <help><![CDATA[\n+**What it does**\n+This module implements the Support Vector Machine (SVM) classification algorithms.\n+Support vector machines (SVMs) are a set of supervised learning methods used for classification, regression and outliers detection.\n+\n+**The advantages of support vector machines are:**\n+\n+ 1- Effective in high dimensional spaces.\n+\n+ 2- Still effective in cases where number of dimensions is greater than the number of samples.\n+\n+ 3- Uses a subset of training points in the decision function (called support vectors), so it is also memory efficient.\n+\n+ 4- Versatile: different Kernel functions can be specified for the decision function. Common kernels are provided, but it is also possible to specify custom kernels.\n+\n+**The disadvantages of support vector machines include:**\n+\n+ 1- If the number of features is much greater than the number of samples, the method is likely to give poor performances.\n+\n+ 2- SVMs do not directly provide probability estimates, these are calculated using an expensive five-fold cross-validation\n+\n+For more information check http://scikit-learn.org/stable/modules/neighbors.html\n+\n+ ]]>\n+ </help>\n+ <expand macro="sklearn_citation"/>\n+</tool>\n' |
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diff -r 000000000000 -r 7bee4014724a test-data/RF01704.fasta --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/RF01704.fasta Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,4 @@ +>CP000097.1/1411351-1411410 +CAACGUUCACCUCACAUUUGUGAGGCGCAGACAACCCAGGCCAAGGAACGGGGACCUGGA +>ACNY01000002.1/278641-278580 +GAUCGUUCACUUCGCAUCGCGCGAAGCGCAGUUCGCCUCAGGCCAUGGAACGGGGACCUGAG |
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diff -r 000000000000 -r 7bee4014724a test-data/accuracy_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/accuracy_score.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,2 @@ +accuracy_score : +0.8461538461538461 |
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diff -r 000000000000 -r 7bee4014724a test-data/auc.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/auc.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,2 @@ +auc : +2.5 |
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diff -r 000000000000 -r 7bee4014724a test-data/average_precision_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/average_precision_score.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +average_precision_score : +1.0 |
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diff -r 000000000000 -r 7bee4014724a test-data/blobs.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/blobs.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,101 @@ +0 1 0 +0.3368184589673989 -3.402879612990731 0 +-9.48324265575857 -8.66266051536995 2 +-1.9333632849607592 5.709539081468901 1 +-10.031824059894126 -5.578343934583625 2 +0.5418607766170062 -4.3769362832693 0 +-8.129629290673781 -7.05554320549807 2 +-0.7308257856942714 7.323755516994815 1 +-1.8414253200701474 6.206304668308321 1 +0.4100718503166844 -3.997448810001185 0 +-8.735095893232405 -5.490905352087513 2 +1.8494196227705402 -3.918393456729695 0 +-9.152560688488569 -9.17805648051067 2 +-3.214299390778301 5.7592616395707115 1 +0.2845037854966439 -3.615765226438298 0 +-0.9290748492230643 5.79099955373578 1 +0.366925241944827 6.518619296229099 1 +1.5990991796541174 -3.0710561729787464 0 +-9.71270568435724 -7.917076514990086 2 +-10.080404430632045 -6.551353241086546 2 +1.1059434577429306 -4.419063749495465 0 +2.4870804964945683 -2.8910071236106702 0 +0.00587148930882897 -3.1831425553970982 0 +1.6185435973534872 -4.888559225592079 0 +-9.1585672210814 -7.138941148475106 2 +-3.0763357145957295 7.800496767864756 1 +0.11174653022487324 -3.6161582871047915 0 +-9.439323507823358 -7.298630345706627 2 +-1.6946622959144526 4.408371111175304 1 +1.0526175263832516 -3.495530097015125 0 +-10.505605921029415 -5.99245086001851 2 +1.5408196415289697 -4.537023441514705 0 +0.32228789680819747 6.898540080429289 1 +0.6162196966060958 -5.275048036375375 0 +-10.225453923298636 -8.716359184214301 2 +-10.610041075915571 -8.159992705422887 2 +-0.7454796670028672 -2.9618984315119485 0 +0.7884875899019093 -5.3223437793891115 0 +-10.420052767549333 -7.784677704340977 2 +-2.9066475299706225 5.798350661758252 1 +-10.321439212021199 -8.927120521097516 2 +-0.21338559861828132 7.847798272479965 1 +-0.07194732572545948 -5.260544662489948 0 +-7.606968935466872 -7.733827136978448 2 +-1.3772203838685648 6.917736574437465 1 +-3.215600190755509 7.26468660350508 1 +-10.361544895394568 -6.919444657083034 2 +-9.604573412392483 -9.253517546022897 2 +-2.7269023156583536 6.738257479022937 1 +-2.8060399921674897 6.990662089963528 1 +-0.8195267147926311 7.582412712536479 1 +-2.088474009808327 5.696071447204143 1 +-0.3199187614984107 -4.982358491659567 0 +-11.320665797033074 -8.209377507348288 2 +-7.962360612746552 -9.0160536966573 2 +2.1678469105746174 -6.165707921777358 0 +1.8950202752190992 -5.864802909183004 0 +-8.668714990990322 -7.798902262764823 2 +2.057721103848434 -6.123229124507681 0 +-9.31359960682017 -8.005681999989289 2 +-0.7674305635615133 -5.476822175833394 0 +-3.467729419225205 6.760721334408079 1 +1.0904984443746135 -5.875829293349414 0 +-0.11521126331032128 -4.075104544956712 0 +1.0892785050407092 -5.50265562869237 0 +-0.6150504792573254 7.65521576624828 1 +0.42996321311489133 -5.550930544379513 0 +-0.7591948546904975 5.588530307317255 1 +-9.125996572516852 -8.00673850068656 2 +-9.775374420827845 -6.619256719676729 2 +-3.017233345281725 7.003406777204688 1 +-0.9730894643674084 -4.066519071956773 0 +-0.488300213042004 -5.665046812039003 0 +-11.920811593303075 -7.6481581712718265 2 +-9.382625071659795 -7.584962987095203 2 +0.07652275340589654 7.588913304914662 1 +0.9769623036529882 -3.9248027076317573 0 +-7.830829708233982 -7.911915266520185 2 +-3.0073685661005083 5.7016366696061365 1 +-1.8751101776939656 5.624499605551414 1 +-9.6832320667351 -8.253539319584945 2 +-9.301199337591346 -8.475648001818415 2 +0.3236596741468444 -5.100784034937504 0 +-1.7483610543320183 5.466455747949784 1 +-0.5606434085120788 6.8761250604356094 1 +0.6786030049961334 -4.1776108538506955 0 +-8.201998888059842 -8.29076835439347 2 +-3.0502642095699524 8.942236614880212 1 +-8.811936226521826 -7.798135337577672 2 +-9.168627707162337 -7.132750331822805 2 +-4.482963659068224 6.928839924536938 1 +-10.522252247863742 -6.805433938277723 2 +-1.585671650741962 6.899480240385674 1 +-1.7585368520754465 6.445346211386424 1 +-9.914521539472657 -8.111815592744888 2 +-1.4007761951194242 6.923806281221148 1 +-1.1922802090762707 6.143108468673037 1 +0.8754133990482117 -5.04555103360224 0 +1.481137717506855 -3.6964070848002533 0 +0.5249593764875948 6.344808234483482 1 +-0.013699553663708786 -4.413973348636017 0 |
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diff -r 000000000000 -r 7bee4014724a test-data/brier_score_loss.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/brier_score_loss.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,2 @@ +brier_score_loss : +0.5641025641025641 |
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diff -r 000000000000 -r 7bee4014724a test-data/circles.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/circles.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,101 @@ +0 1 0 +-0.06279051952931321 -0.9980267284282716 0 +0.05023241562345065 0.7984213827426173 1 +-0.9921147013144779 -0.12533323356430429 0 +0.4257792915650726 -0.9048270524660196 0 +-0.30901699437494756 -0.9510565162951535 0 +-1.0 -3.216245299353273e-16 0 +-0.18738131458572463 -0.9822872507286887 0 +-0.5358267949789963 -0.8443279255020153 0 +-0.7748665289029049 -0.19895190973188404 1 +-0.8763066800438636 0.4817536741017152 0 +-0.24721359549995806 -0.7608452130361228 1 +0.8 0.0 1 +0.42866143598319745 -0.675462340401612 1 +-0.5831749019371294 0.5476376847429508 1 +0.7010453440350909 -0.38540293928137226 1 +-0.743821188710601 -0.29449964214774266 1 +-0.7438211887106012 0.2944996421477422 1 +0.8090169943749475 0.5877852522924731 0 +0.30901699437494723 -0.9510565162951536 0 +0.18738131458572452 0.9822872507286887 0 +-0.8763066800438635 -0.4817536741017154 0 +-0.42866143598319706 -0.6754623404016122 1 +-0.5099391917989516 -0.6164105942206315 1 +0.63742398974869 -0.770513242775789 0 +-0.9297764858882512 -0.3681245526846783 0 +-0.9297764858882515 0.36812455268467775 0 +-0.9685831611286311 0.24868988716485482 0 +0.2472135954999578 -0.760845213036123 1 +-0.1499050516685797 -0.785829800582951 1 +-0.8090169943749473 0.5877852522924732 0 +-0.6374239897486895 -0.7705132427757894 0 +0.7289686274214116 0.6845471059286887 0 +0.9297764858882513 0.368124552684678 0 +0.0627905195293133 0.9980267284282716 0 +0.7936917610515823 0.1002665868514434 1 +-0.34062343325205774 -0.7238616419728159 1 +-0.7748665289029049 0.19895190973188387 1 +-0.14990505166857987 0.7858298005829509 1 +0.7010453440350909 0.38540293928137226 1 +-0.5099391917989519 0.6164105942206315 1 +-0.8 -2.572996239482619e-16 1 +-0.7936917610515823 0.10026658685144328 1 +0.5099391917989518 0.6164105942206315 1 +0.5358267949789968 -0.844327925502015 0 +-0.7936917610515823 -0.10026658685144343 1 +0.7936917610515823 -0.10026658685144303 1 +-0.5358267949789969 0.844327925502015 0 +0.509939191798952 -0.6164105942206313 1 +-0.050232415623450724 0.7984213827426173 1 +1.0 0.0 0 +-0.6374239897486897 0.7705132427757893 0 +0.7289686274214119 -0.6845471059286883 0 +0.06279051952931372 -0.9980267284282716 0 +0.8090169943749478 -0.5877852522924726 0 +0.18738131458572513 -0.9822872507286886 0 +-0.6472135954999579 0.4702282018339786 1 +0.5831749019371295 -0.5476376847429506 1 +-0.8090169943749472 -0.5877852522924734 0 +-0.7010453440350909 0.3854029392813722 1 +0.8763066800438636 -0.4817536741017153 0 +0.5831749019371293 0.547637684742951 1 +-0.6472135954999578 -0.47022820183397873 1 +0.3406234332520581 -0.7238616419728157 1 +0.05023241562345098 -0.7984213827426173 1 +-0.7289686274214117 0.6845471059286885 0 +-0.5831749019371293 -0.547637684742951 1 +0.647213595499958 0.4702282018339785 1 +0.14990505166858012 -0.7858298005829509 1 +0.14990505166857962 0.785829800582951 1 +-0.24721359549995806 0.7608452130361228 1 +0.9297764858882515 -0.36812455268467786 0 +0.9921147013144779 -0.1253332335643038 0 +0.6374239897486896 0.7705132427757893 0 +0.7438211887106012 -0.2944996421477423 1 +0.3406234332520581 0.7238616419728157 1 +0.6472135954999583 -0.47022820183397807 1 +-0.0627905195293134 0.9980267284282716 0 +0.9921147013144779 0.12533323356430426 0 +-0.7289686274214116 -0.6845471059286887 0 +0.8763066800438636 0.4817536741017153 0 +-0.9685831611286311 -0.24868988716485502 0 +0.9685831611286311 0.2486898871648548 0 +0.42577929156507266 0.9048270524660196 0 +-0.4257792915650727 0.9048270524660195 0 +0.4286614359831973 0.6754623404016121 1 +0.24721359549995797 0.7608452130361228 1 +-0.30901699437494756 0.9510565162951535 0 +0.774866528902905 -0.1989519097318836 1 +-0.42577929156507216 -0.9048270524660198 0 +-0.18738131458572482 0.9822872507286886 0 +-0.3406234332520582 0.7238616419728157 1 +0.7438211887106011 0.2944996421477424 1 +0.7748665289029049 0.19895190973188384 1 +0.30901699437494745 0.9510565162951535 0 +0.9685831611286312 -0.2486898871648545 0 +-0.7010453440350908 -0.3854029392813723 1 +-0.05023241562345057 -0.7984213827426173 1 +-0.4286614359831975 0.675462340401612 1 +-0.9921147013144779 0.1253332335643041 0 +0.5358267949789965 0.8443279255020151 0 |
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diff -r 000000000000 -r 7bee4014724a test-data/class.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/class.txt Sat Aug 04 12:46:28 2018 -0400 |
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b'@@ -0,0 +1,101 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diff -r 000000000000 -r 7bee4014724a test-data/classification_report.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/classification_report.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,9 @@ +classification_report : + precision recall f1-score support + + 0 1.00 1.00 1.00 14 + 1 1.00 0.62 0.77 16 + 2 0.60 1.00 0.75 9 + +avg / total 0.91 0.85 0.85 39 + |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result01.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result01.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result02.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result02.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result03.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result03.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result04.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result04.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result05.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result05.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result06.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result06.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result07.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result07.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result08.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result08.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result09.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result09.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result10.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result10.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result11.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result11.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result12 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result12 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result12.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result12.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result13.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result13.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result14.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result14.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result15.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result15.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result16.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result16.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result17.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result17.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result18.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result18.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result19.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result19.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result20.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result20.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/cluster_result21.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/cluster_result21.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/confusion_matrix.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/confusion_matrix.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/converter_result01.json --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/converter_result01.json Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/converter_result02.json --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/converter_result02.json Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/csc_sparse1.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/csc_sparse1.mtx Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/csc_sparse2.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/csc_sparse2.mtx Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/csc_stack_result01.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/csc_stack_result01.mtx Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/csr_sparse1.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/csr_sparse1.mtx Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/csr_sparse2.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/csr_sparse2.mtx Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/csr_stack_result01.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/csr_stack_result01.mtx Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/empty_file.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/empty_file.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/f1_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/f1_score.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/fbeta_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/fbeta_score.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result01 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result01 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result02 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result02 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result04 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result04 Sat Aug 04 12:46:28 2018 -0400 |
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|
b |
diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result05 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result05 Sat Aug 04 12:46:28 2018 -0400 |
b |
b'@@ -0,0 +1,262 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diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result06 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result06 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result07 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result07 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result08 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result08 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,11 @@ +0 1 +143.762620712 -0.330941870584 +-88.5787166225 1.08055532812 +-82.8452345578 0.272541389247 +72.4951388149 -0.26868660527800003 +11.805182128 1.0360467096600001 +-63.9354970901 -0.101485840571 +126.32584079600001 -0.35999834017899995 +23.0341392692 0.5185404651359999 +67.6714937696 -0.115688051547 +47.39275848810001 -0.7850965413680001 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result09 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result09 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,11 @@ +0 +143.762620712 +-88.5787166225 +-82.8452345578 +72.4951388149 +11.805182128 +-63.9354970901 +126.32584079600001 +23.0341392692 +67.6714937696 +47.39275848810001 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result10 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result10 Sat Aug 04 12:46:28 2018 -0400 |
b |
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|
b |
diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result11 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result11 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,51 @@ +Race AIDS Total +4.0 2555.0 14443382.0 +4.0 55300.0 14704293.0 +4.0 82334.0 16641977.0 +4.0 38006.0 13888285.0 +4.0 16068.0 21845911.0 +2.0 2489.0 2367256.0 +2.0 34204.0 2410019.0 +2.0 51776.0 2727604.0 +2.0 23896.0 2276276.0 +2.0 10169.0 3580523.0 +3.0 1363.0 1542563.0 +3.0 20712.0 1570428.0 +3.0 27200.0 1777374.0 +3.0 11251.0 1483278.0 +3.0 4674.0 2333158.0 +1.0 38.0 699627.0 +1.0 731.0 712265.0 +1.0 1162.0 806125.0 +1.0 560.0 672738.0 +1.0 258.0 1058200.0 +0.0 26.0 169115.0 +0.0 390.0 172170.0 +0.0 417.0 194858.0 +0.0 140.0 162616.0 +0.0 48.0 255790.0 +4.0 490.0 14999423.0 +4.0 4788.0 15270378.0 +4.0 5377.0 17282659.0 +4.0 2152.0 14422956.0 +4.0 1790.0 22686934.0 +2.0 1490.0 2458391.0 +2.0 12280.0 2502800.0 +2.0 15713.0 2832611.0 +2.0 5788.0 2363908.0 +2.0 2534.0 3718366.0 +3.0 493.0 1601948.0 +3.0 4660.0 1630887.0 +3.0 5153.0 1845800.0 +3.0 1944.0 1540381.0 +3.0 910.0 2422980.0 +1.0 6.0 726561.0 +1.0 83.0 739686.0 +1.0 106.0 837159.0 +1.0 69.0 698637.0 +1.0 55.0 1098938.0 +0.0 3.0 175626.0 +0.0 78.0 178798.0 +0.0 77.0 202360.0 +0.0 31.0 168876.0 +0.0 14.0 265637.0 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/feature_selection_result12 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/feature_selection_result12 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,11 @@ +0 1 +143.762620712 -1.1796457192799998 +-88.5787166225 -2.5710918402200003 +-82.8452345578 -0.168636324107 +72.4951388149 0.991068834926 +11.805182128 -0.7096855607860001 +-63.9354970901 0.9841122108220001 +126.32584079600001 0.35353444883900004 +23.0341392692 1.03188231893 +67.6714937696 -0.8214378651719999 +47.39275848810001 -0.0942409319417 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/friedman1.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/friedman1.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
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|
b |
diff -r 000000000000 -r 7bee4014724a test-data/friedman2.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/friedman2.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
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|
b |
diff -r 000000000000 -r 7bee4014724a test-data/friedman3.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/friedman3.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
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diff -r 000000000000 -r 7bee4014724a test-data/gaus.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/gaus.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/gbc_model01 |
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Binary file test-data/gbc_model01 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/gbc_result01 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/gbc_result01 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/gbr_model01 |
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Binary file test-data/gbr_model01 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/gbr_prediction_result01.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/gbr_prediction_result01.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model01 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model02 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model03 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model04 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model05 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model06 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model07 |
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Binary file test-data/glm_model07 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_model08 |
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Binary file test-data/glm_model08 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result01 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result01 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result02 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result02 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result03 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result03 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result04 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result04 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result05 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result05 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result06 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result06 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result07 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result07 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/glm_result08 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/glm_result08 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/hamming_loss.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/hamming_loss.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/hastie.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/hastie.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/hinge_loss.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/hinge_loss.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,2 @@ +hinge_loss : +2.7688227126800844 |
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diff -r 000000000000 -r 7bee4014724a test-data/jaccard_similarity_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/jaccard_similarity_score.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,2 @@ +jaccard_similarity_score : +0.8461538461538461 |
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diff -r 000000000000 -r 7bee4014724a test-data/lda_model01 |
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Binary file test-data/lda_model01 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/lda_model02 |
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Binary file test-data/lda_model02 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/lda_prediction_result01.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/lda_prediction_result01.tabular Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,5 @@ +3.68258022948 2.82110345641 -3.990140724 -1.9523364774 0 +0.015942057224 -0.7119585943469999 0.125502976978 -0.972218263337 0 +2.0869076882499997 0.929399321468 -2.1292408448400004 -1.9971402218799998 0 +1.4132105208399999 0.523750660422 -1.4210539291 -1.49298569451 0 +0.7683140439399999 1.38267855169 -0.989045048734 0.649504257894 1 |
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diff -r 000000000000 -r 7bee4014724a test-data/lda_prediction_result02.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/lda_prediction_result02.tabular Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,5 @@ +3.68258022948 2.82110345641 -3.990140724 -1.9523364774 0 +0.015942057224 -0.7119585943469999 0.125502976978 -0.972218263337 0 +2.0869076882499997 0.929399321468 -2.1292408448400004 -1.9971402218799998 0 +1.4132105208399999 0.523750660422 -1.4210539291 -1.49298569451 0 +0.7683140439399999 1.38267855169 -0.989045048734 0.649504257894 1 |
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diff -r 000000000000 -r 7bee4014724a test-data/log_loss.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/log_loss.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,2 @@ +log_loss : +3.7248735402728403 |
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diff -r 000000000000 -r 7bee4014724a test-data/matthews_corrcoef.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/matthews_corrcoef.txt Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,2 @@ +matthews_corrcoef : +1.0 |
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diff -r 000000000000 -r 7bee4014724a test-data/moons.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/moons.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/mv_result01.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mv_result01.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/mv_result02.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mv_result02.tabular Sat Aug 04 12:46:28 2018 -0400 |
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@@ -0,0 +1,10 @@ +1.6957921248350636 +-0.9248588846061156 +-0.48640795813792376 +0.647707440306449 +0.32740690920811427 +-0.8229559569886034 +1.2150108977866847 +0.14723254190255275 +0.6053186541119763 +0.3972102859168325 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/mv_result03.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mv_result03.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,3 @@ +0.9452947345848994 +0.9926363525448115 +-0.4384003222944141 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/mv_result04.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mv_result04.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,5 @@ +17 +56 +95 +134 +174 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/mv_result05.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mv_result05.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,1 @@ +0.4998435882784322 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/mv_result06.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/mv_result06.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,5 @@ +0.07547169811320754 0.10344827586206896 0.10294117647058823 +0.07547169811320754 0.10344827586206896 0.10294117647058823 +0.07547169811320754 0.10344827586206896 0.10294117647058823 +0.07547169811320754 0.10344827586206896 0.10294117647058823 +0.07547169811320754 0.10344827586206896 0.10294117647058823 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/nn_model01.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/nn_model01.txt Sat Aug 04 12:46:28 2018 -0400 |
[ |
b"@@ -0,0 +1,132 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No newline at end of file\n' |
b |
diff -r 000000000000 -r 7bee4014724a test-data/nn_model02.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/nn_model02.txt Sat Aug 04 12:46:28 2018 -0400 |
[ |
b"@@ -0,0 +1,306 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No newline at end of file\n' |
b |
diff -r 000000000000 -r 7bee4014724a test-data/nn_model03.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/nn_model03.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,91 @@ +ccopy_reg +_reconstructor +p0 +(csklearn.neighbors.nearest_centroid +NearestCentroid +p1 +c__builtin__ +object +p2 +Ntp3 +Rp4 +(dp5 +S'centroids_' +p6 +cnumpy.core.multiarray +_reconstruct +p7 +(cnumpy +ndarray +p8 +(I0 +tp9 +S'b' +p10 +tp11 +Rp12 +(I1 +(I4 +I4 +tp13 +cnumpy +dtype +p14 +(S'f8' +p15 +I0 +I1 +tp16 +Rp17 +(I3 +S'<' +p18 +NNNI-1 +I-1 +I0 +tp19 +bI00 +S'\x00\x00\x00\x00\x00\x00\x00\x00\xab\xaa\xaa\xaa\xaa\x8aG@\x00\x00\x00\x00\x00\xc0K@UUUUUEQ\xc0\x00\x00\x00\x00\x00\x00\x00@\xab\xaa\xaa\xaa\xaajV\xc0\xab\xaa\xaa\xaa\xaa*3@\x00\x00\x00\x00\x00\xa0Y\xc0\x00\x00\x00\x00\x00\x00\xf0?\xc5N\xec\xc4N\xecM\xc0;\xb1\x13;\xb1SV@\x14;\xb1\x13;\xb1F@\x00\x00\x00\x00\x00\x00\x08@\xe9\xa2\x8b.\xba\xe8B@\x8c.\xba\xe8\xa2\x0bX\xc0t\xd1E\x17]t\x19@' +p20 +tp21 +bsS'metric' +p22 +Veuclidean +p23 +sS'classes_' +p24 +g7 +(g8 +(I0 +tp25 +g10 +tp26 +Rp27 +(I1 +(I4 +tp28 +g14 +(S'i8' +p29 +I0 +I1 +tp30 +Rp31 +(I3 +S'<' +p32 +NNNI-1 +I-1 +I0 +tp33 +bI00 +S'\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00' +p34 +tp35 +bsS'_sklearn_version' +p36 +S'0.19.1' +p37 +sS'shrink_threshold' +p38 +Nsb. \ No newline at end of file |
b |
diff -r 000000000000 -r 7bee4014724a test-data/nn_prediction_result01.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/nn_prediction_result01.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 1 +2 -94 20 -96 1 +2 -85 26 -88 1 +2 -90 33 -114 1 +2 -63 9 -106 1 +2 -79 9 -93 1 +2 -99 26 -108 1 +2 -81 19 -110 1 +2 -108 21 -108 1 +2 -92 27 -106 1 +2 -88 2 -106 1 +2 -88 15 -103 1 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/nn_prediction_result02.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/nn_prediction_result02.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 1 +2 -94 20 -96 1 +2 -85 26 -88 1 +2 -90 33 -114 1 +2 -63 9 -106 1 +2 -79 9 -93 1 +2 -99 26 -108 1 +2 -81 19 -110 1 +2 -108 21 -108 1 +2 -92 27 -106 1 +2 -88 2 -106 1 +2 -88 15 -103 1 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/nn_prediction_result03.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/nn_prediction_result03.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 1 +2 -94 20 -96 1 +2 -85 26 -88 1 +2 -90 33 -114 1 +2 -63 9 -106 1 +2 -79 9 -93 1 +2 -99 26 -108 1 +2 -81 19 -110 1 +2 -108 21 -108 1 +2 -92 27 -106 1 +2 -88 2 -106 1 +2 -88 15 -103 1 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/numeric_values.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/numeric_values.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/pipeline01 |
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diff -r 000000000000 -r 7bee4014724a test-data/pipeline07 |
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diff -r 000000000000 -r 7bee4014724a test-data/pipeline08 |
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diff -r 000000000000 -r 7bee4014724a test-data/precision_recall_curve.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/precision_recall_curve.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/precision_recall_fscore_support.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/precision_recall_fscore_support.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/precision_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/precision_score.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/prp_model01 |
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diff -r 000000000000 -r 7bee4014724a test-data/prp_model05 |
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diff -r 000000000000 -r 7bee4014724a test-data/prp_result05 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/prp_result05 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/pw_metric03.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/pw_metric03.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,4 @@ +0.0 0.7801459919993865 0.69641542739614 0.649889281728111 +0.7801459919993865 0.0 0.7727193167666271 0.7669511761085644 +0.69641542739614 0.7727193167666271 0.0 0.6761972684325525 +0.649889281728111 0.7669511761085644 0.6761972684325525 0.0 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/qda_model01 |
b |
Binary file test-data/qda_model01 has changed |
b |
diff -r 000000000000 -r 7bee4014724a test-data/qda_prediction_result01.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/qda_prediction_result01.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,5 @@ +3.68258022948 2.82110345641 -3.990140724 -1.9523364774 0 +0.015942057224 -0.7119585943469999 0.125502976978 -0.972218263337 0 +2.0869076882499997 0.929399321468 -2.1292408448400004 -1.9971402218799998 0 +1.4132105208399999 0.523750660422 -1.4210539291 -1.49298569451 0 +0.7683140439399999 1.38267855169 -0.989045048734 0.649504257894 1 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/recall_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/recall_score.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +recall_score : +0.8461538461538461 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
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|
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_X.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_X.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
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|
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_metrics_result01 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_metrics_result01 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +explained_variance_score : +0.8260 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_metrics_result02 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_metrics_result02 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +mean_absolute_error : +3.8706 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_metrics_result03 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_metrics_result03 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +mean_squared_error : +26.0153 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_metrics_result04 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_metrics_result04 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +mean_squared_log_error : +0.0061 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_metrics_result05 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_metrics_result05 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +median_absolute_error : +3.0090 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_metrics_result06 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_metrics_result06 Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +r2_score : +0.8129 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_test.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_test.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,5 @@ +86.9702122735 1.00532111569 -1.01739601979 -0.613139481654 0.641846874331 +91.2021798817 -0.621522971207 1.11914889596 0.390012184498 1.28956938152 +-47.4101632272 -0.638416457964 -0.732777468453 -0.864026104978 -1.06109770116 +61.7128046302 -1.09994800577 -0.739679672932 0.585657963012 1.48906827536 +-206.998295124 0.130238853011 0.70574123041 1.33206565264 -1.33220923738 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_test_X.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_test_X.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,88 @@ +year month day temp_2 temp_1 average forecast_noaa forecast_acc forecast_under friend week_Fri week_Mon week_Sat week_Sun week_Thurs week_Tues week_Wed +2016 9 29 69 68 66.1 63 71 68 57 0 0 0 0 1 0 0 +2016 4 27 59 60 60.7 59 65 60 50 0 0 0 0 0 0 1 +2016 11 28 53 48 48.0 46 48 49 44 0 1 0 0 0 0 0 +2016 10 12 60 62 61.0 60 63 63 52 0 0 0 0 0 0 1 +2016 6 19 67 65 70.4 69 73 70 58 0 0 0 1 0 0 0 +2016 5 7 68 77 63.0 61 65 63 83 0 0 1 0 0 0 0 +2016 7 25 75 80 77.1 75 82 76 81 0 1 0 0 0 0 0 +2016 8 15 90 83 76.6 76 79 75 70 0 1 0 0 0 0 0 +2016 10 28 58 60 55.6 52 56 55 52 1 0 0 0 0 0 0 +2016 6 5 80 81 68.0 64 70 66 54 0 0 0 1 0 0 0 +2016 3 19 58 63 54.2 54 59 54 62 0 0 1 0 0 0 0 +2016 6 7 92 86 68.3 67 69 70 58 0 0 0 0 0 1 0 +2016 12 10 41 36 45.9 44 48 44 65 0 0 1 0 0 0 0 +2016 4 23 73 64 59.9 56 63 59 57 0 0 1 0 0 0 0 +2016 6 24 75 68 71.5 67 73 73 65 1 0 0 0 0 0 0 +2016 2 9 51 57 49.4 45 52 49 57 0 0 0 0 0 1 0 +2016 11 10 71 65 52.2 52 54 51 38 0 0 0 0 1 0 0 +2016 3 21 61 55 54.5 52 56 55 52 0 1 0 0 0 0 0 +2016 2 28 60 57 51.3 48 56 53 66 0 0 0 1 0 0 0 +2016 6 28 78 85 72.4 72 76 74 67 0 0 0 0 0 1 0 +2016 10 6 63 66 63.3 62 67 63 55 0 0 0 0 1 0 0 +2016 2 17 55 56 50.0 45 51 49 46 0 0 0 0 0 0 1 +2016 6 15 66 60 69.7 65 73 71 69 0 0 0 0 0 0 1 +2016 10 15 60 60 59.9 59 62 59 46 0 0 1 0 0 0 0 +2016 3 26 54 57 55.2 53 57 55 54 0 0 1 0 0 0 0 +2016 1 26 51 54 48.3 44 53 50 61 0 0 0 0 0 1 0 +2016 5 23 59 66 66.1 63 68 68 66 0 1 0 0 0 0 0 +2016 1 10 48 50 46.5 45 48 48 49 0 0 0 1 0 0 0 +2016 5 22 66 59 65.9 62 66 65 80 0 0 0 1 0 0 0 +2016 7 15 75 77 76.0 74 80 78 75 1 0 0 0 0 0 0 +2016 4 22 81 73 59.7 59 64 60 59 1 0 0 0 0 0 0 +2016 4 29 61 64 61.2 61 65 61 49 1 0 0 0 0 0 0 +2016 1 23 52 57 48.0 45 49 50 37 0 0 1 0 0 0 0 +2016 8 16 83 84 76.5 72 78 78 90 0 0 0 0 0 1 0 +2016 8 1 76 73 77.4 76 78 79 65 0 1 0 0 0 0 0 +2016 2 27 61 60 51.2 51 53 53 61 0 0 1 0 0 0 0 +2016 2 12 56 55 49.6 49 52 48 33 1 0 0 0 0 0 0 +2016 1 31 52 48 48.7 47 52 49 61 0 0 0 1 0 0 0 +2016 9 5 67 68 73.5 71 75 73 54 0 1 0 0 0 0 0 +2016 12 20 39 46 45.1 45 49 45 62 0 0 0 0 0 1 0 +2016 5 1 61 68 61.6 60 65 60 75 0 0 0 1 0 0 0 +2016 3 28 59 51 55.5 55 57 55 47 0 1 0 0 0 0 0 +2016 4 21 81 81 59.4 55 61 59 55 0 0 0 0 1 0 0 +2016 1 6 40 44 46.1 43 49 48 40 0 0 0 0 0 0 1 +2016 10 21 58 62 57.8 56 60 59 44 1 0 0 0 0 0 0 +2016 5 2 68 77 61.9 60 66 61 59 0 1 0 0 0 0 0 +2016 3 1 53 54 51.5 48 56 50 53 0 0 0 0 0 1 0 +2016 7 21 78 82 76.8 73 81 78 84 0 0 0 0 1 0 0 +2016 3 17 51 53 53.9 49 58 52 62 0 0 0 0 1 0 0 +2016 12 6 46 40 46.4 44 50 45 56 0 0 0 0 0 1 0 +2016 12 21 46 51 45.1 44 50 46 39 0 0 0 0 0 0 1 +2016 1 4 44 41 45.9 44 48 46 53 0 1 0 0 0 0 0 +2016 10 2 67 63 64.9 62 69 66 82 0 0 0 1 0 0 0 +2016 5 28 65 64 66.8 64 69 65 64 0 0 1 0 0 0 0 +2016 9 11 74 77 72.1 69 75 71 70 0 0 0 1 0 0 0 +2016 10 25 62 61 56.5 53 60 55 70 0 0 0 0 0 1 0 +2016 2 18 56 57 50.1 47 55 49 34 0 0 0 0 1 0 0 +2016 11 1 117 59 54.5 51 59 55 61 0 0 0 0 0 1 0 +2016 3 16 49 51 53.7 52 54 55 65 0 0 0 0 0 0 1 +2016 4 26 55 59 60.5 56 61 62 75 0 0 0 0 0 1 0 +2016 6 10 67 65 68.8 67 71 67 73 1 0 0 0 0 0 0 +2016 2 3 46 51 48.9 48 49 50 40 0 0 0 0 0 0 1 +2016 3 7 64 60 52.4 49 57 53 71 0 1 0 0 0 0 0 +2016 9 18 75 68 70.0 66 73 71 90 0 0 0 1 0 0 0 +2016 3 20 63 61 54.3 51 56 55 50 0 0 0 1 0 0 0 +2016 4 6 60 57 56.8 53 59 57 64 0 0 0 0 0 0 1 +2016 7 2 73 76 73.3 70 77 73 84 0 0 1 0 0 0 0 +2016 7 5 71 68 74.0 72 77 74 62 0 0 0 0 0 1 0 +2016 7 19 80 73 76.6 76 78 77 90 0 0 0 0 0 1 0 +2016 12 9 40 41 46.0 43 51 44 54 1 0 0 0 0 0 0 +2016 6 29 85 79 72.6 68 76 74 81 0 0 0 0 0 0 1 +2016 3 22 55 56 54.6 51 55 54 64 0 0 0 0 0 1 0 +2016 4 3 71 63 56.3 54 61 56 64 0 0 0 1 0 0 0 +2016 1 17 48 54 47.4 45 51 46 47 0 0 0 1 0 0 0 +2016 3 10 54 55 52.8 49 55 53 50 0 0 0 0 1 0 0 +2016 5 9 82 63 63.4 59 66 62 64 0 1 0 0 0 0 0 +2016 1 8 51 45 46.3 43 47 46 34 1 0 0 0 0 0 0 +2016 8 11 72 76 76.9 74 81 75 80 0 0 0 0 1 0 0 +2016 12 29 47 48 45.3 43 50 45 65 0 0 0 0 1 0 0 +2016 11 23 54 54 49.1 48 52 49 38 0 0 0 0 0 0 1 +2016 11 19 52 55 50.0 50 54 49 56 0 0 1 0 0 0 0 +2016 4 7 57 68 56.9 52 61 55 38 0 0 0 0 1 0 0 +2016 6 4 71 80 67.9 63 72 66 76 0 0 1 0 0 0 0 +2016 6 17 67 71 70.0 66 74 69 54 1 0 0 0 0 0 0 +2016 10 5 61 63 63.7 61 66 65 48 0 0 0 0 0 0 1 +2016 3 4 55 59 51.9 47 56 53 45 1 0 0 0 0 0 0 +2016 12 22 51 49 45.1 42 47 46 38 0 0 0 0 1 0 0 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_test_y.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_test_y.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
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b |
diff -r 000000000000 -r 7bee4014724a test-data/regression_train.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_train.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/regression_y.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/regression_y.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/rfc_model01 |
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Binary file test-data/rfc_model01 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/rfc_result01 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/rfc_result01 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/rfc_result02 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/rfc_result02 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/rfr_model01 |
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Binary file test-data/rfr_model01 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/rfr_result01 --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/rfr_result01 Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/roc_auc_score.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/roc_auc_score.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/roc_curve.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/roc_curve.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/scurve.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/scurve.txt Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/searchCV01 |
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Binary file test-data/searchCV01 has changed |
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diff -r 000000000000 -r 7bee4014724a test-data/sparse.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/sparse.mtx Sat Aug 04 12:46:28 2018 -0400 |
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b |
diff -r 000000000000 -r 7bee4014724a test-data/sparse_u.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/sparse_u.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
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b |
diff -r 000000000000 -r 7bee4014724a test-data/svc_model01.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/svc_model01.txt Sat Aug 04 12:46:28 2018 -0400 |
[ |
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No newline at end of file\n' |
b |
diff -r 000000000000 -r 7bee4014724a test-data/svc_model02.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/svc_model02.txt Sat Aug 04 12:46:28 2018 -0400 |
[ |
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No newline at end of file\n' |
b |
diff -r 000000000000 -r 7bee4014724a test-data/svc_model03.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/svc_model03.txt Sat Aug 04 12:46:28 2018 -0400 |
[ |
@@ -0,0 +1,163 @@ +ccopy_reg +_reconstructor +p0 +(csklearn.svm.classes +LinearSVC +p1 +c__builtin__ +object +p2 +Ntp3 +Rp4 +(dp5 +S'loss' +p6 +Vsquared_hinge +p7 +sS'C' +p8 +F1.0 +sS'max_iter' +p9 +I1000 +sS'verbose' +p10 +I0 +sS'fit_intercept' +p11 +I01 +sS'random_state' +p12 +I5 +sS'classes_' +p13 +cnumpy.core.multiarray +_reconstruct +p14 +(cnumpy +ndarray +p15 +(I0 +tp16 +S'b' +p17 +tp18 +Rp19 +(I1 +(I4 +tp20 +cnumpy +dtype +p21 +(S'i8' +p22 +I0 +I1 +tp23 +Rp24 +(I3 +S'<' +p25 +NNNI-1 +I-1 +I0 +tp26 +bI00 +S'\x00\x00\x00\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\x00\x00\x00\x02\x00\x00\x00\x00\x00\x00\x00\x03\x00\x00\x00\x00\x00\x00\x00' +p27 +tp28 +bsS'n_iter_' +p29 +cnumpy.core.multiarray +scalar +p30 +(g21 +(S'i4' +p31 +I0 +I1 +tp32 +Rp33 +(I3 +S'<' +p34 +NNNI-1 +I-1 +I0 +tp35 +bS'\xe8\x03\x00\x00' +p36 +tp37 +Rp38 +sS'intercept_scaling' +p39 +F1.0 +sS'penalty' +p40 +Vl2 +p41 +sS'multi_class' +p42 +Vovr +p43 +sS'coef_' +p44 +g14 +(g15 +(I0 +tp45 +g17 +tp46 +Rp47 +(I1 +(I4 +I4 +tp48 +g21 +(S'f8' +p49 +I0 +I1 +tp50 +Rp51 +(I3 +S'<' +p52 +NNNI-1 +I-1 +I0 +tp53 +bI01 +S'@@\xae\xfaP\xc8\xd4\xbf\xe8\x9b\x9e\x13"\xd6\xdb\xbf\xba\xc8\xd0f\xd1\xb9`\xbf\xca\xa9\x1a\xa8\x93\xda&\xbfv\xa2{\x1d\n\x8e\x95?\x1a\xb3\xc3\x80`\x9fn\xbf\xa5E?\x1dKV\x88\xbf\xb4]v\x97t8f?~R\x8dH\xd4\x9c\x89?+\xe8\xb4\x8b\xe7N\x7f\xbf\xdef\x84\xc2\xaa\xbc\x8e?\xc7\x193\xe1OO\x90\xbf\xc6UW_\x17\xdd\x87\xbf\xed\xa5\x82\x11Xbh?\x9b5w\xe8\x7fR\x9d?\xff\x9fao\xeaB|?' +p54 +tp55 +bsS'_sklearn_version' +p56 +S'0.19.1' +p57 +sS'dual' +p58 +I01 +sS'tol' +p59 +F0.001 +sS'intercept_' +p60 +g14 +(g15 +(I0 +tp61 +g17 +tp62 +Rp63 +(I1 +(I4 +tp64 +g51 +I00 +S'\x9e\x05)W2\xcf\xc3\xbf\x98\xa4\x94\x94\x06\xf1\xd1\xbf\x1b<a=\xfb\x89S\xbf[\x9e>\x89\xb1<4\xbf' +p65 +tp66 +bsS'class_weight' +p67 +Nsb. \ No newline at end of file |
b |
diff -r 000000000000 -r 7bee4014724a test-data/svc_prediction_result01.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/svc_prediction_result01.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,49 @@ +0 58 56 -67 0 +0 44 64 -76 0 +0 51 48 -73 0 +0 58 65 -49 0 +0 43 61 -49 0 +0 45 43 -79 0 +0 42 60 -98 0 +0 50 55 -59 0 +0 53 53 -56 0 +0 45 44 -61 0 +0 43 65 -84 0 +0 35 52 -75 0 +0 56 56 -70 0 +1 -61 86 43 2 +1 -67 93 15 2 +1 -59 94 36 2 +1 -50 92 62 2 +1 -78 91 70 2 +1 -35 87 47 2 +1 -56 91 52 2 +1 -61 81 46 2 +1 -83 78 34 2 +1 -50 87 45 2 +1 -67 73 50 2 +1 -50 97 45 2 +1 -61 111 45 2 +2 -109 23 -92 1 +2 -94 20 -96 1 +2 -85 26 -88 1 +2 -90 33 -114 1 +2 -63 9 -106 1 +2 -79 9 -93 1 +2 -99 26 -108 1 +2 -81 19 -110 1 +2 -108 21 -108 1 +2 -92 27 -106 1 +2 -88 2 -106 1 +2 -88 15 -103 1 +3 54 -74 4 3 +3 42 -92 31 3 +3 39 -99 -7 3 +3 48 -115 -5 3 +3 39 -96 2 3 +3 31 -109 9 3 +3 33 -96 -8 3 +3 23 -102 4 3 +3 38 -90 21 3 +3 34 -107 1 3 +3 35 -78 18 3 |
b |
diff -r 000000000000 -r 7bee4014724a test-data/svc_prediction_result02.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/svc_prediction_result02.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/test.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/test.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/test2.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/test2.tabular Sat Aug 04 12:46:28 2018 -0400 |
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diff -r 000000000000 -r 7bee4014724a test-data/test3.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/test3.tabular Sat Aug 04 12:46:28 2018 -0400 |
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0.0224596916827213\n+2 1042815 0.01450010501959994\n+2 1043231 0.01367466109027461\n+2 1043931 0.0224596916827213\n+2 1044011 0.0224596916827213\n+2 1045048 0.02577876681878442\n+2 1046133 0.01846275890181026\n+2 1046509 0.02084171182520092\n+2 1046561 0.02720735217809617\n+2 1046915 0.01360367608904809\n+2 1047335 0.01360367608904809\n+2 1048455 0.0224596916827213\n' |
b |
diff -r 000000000000 -r 7bee4014724a test-data/vectorizer_result02.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/vectorizer_result02.mtx Sat Aug 04 12:46:28 2018 -0400 |
b |
b'@@ -0,0 +1,7346 @@\n+%%MatrixMarket matrix coordinate real general\n+%\n+4 1048577 7343\n+1 1450 0.0152274037172392\n+1 1961 0.01275776096436371\n+1 4053 0.01582710983069052\n+1 4357 0.01446327540314412\n+1 4379 0.02292554618019654\n+1 4727 0.01275776096436371\n+1 6201 0.02859906492378073\n+1 7170 0.01341424712825137\n+1 8116 0.02292554618019654\n+1 10078 0.05679044019028674\n+1 10495 0.03256516109420249\n+1 12091 0.05275703276896841\n+1 12155 0.01906604328252049\n+1 13013 0.01517172746603997\n+1 13181 0.0152274037172392\n+1 13234 0.0108550536980675\n+1 13280 0.0152274037172392\n+1 14120 0.01906604328252049\n+1 14527 0.0152274037172392\n+1 15083 0.0152274037172392\n+1 15241 0.01446327540314412\n+1 15283 0.01895709357182213\n+1 16177 0.01275776096436371\n+1 17436 0.0152274037172392\n+1 19449 0.02255274822664651\n+1 20975 0.05803273604586524\n+1 21531 0.0144155416907593\n+1 22178 0.00527570327689684\n+1 22283 0.01674245171469339\n+1 22706 0.02892655080628824\n+1 22715 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0.01586088310577529\n+4 1027631 0.02245327618246397\n+4 1027652 0.01917635673617606\n+4 1027973 0.01525873096885777\n+4 1028155 0.03686477988200062\n+4 1028295 0.01525873096885777\n+4 1028315 0.05529716982300092\n+4 1028912 0.01525873096885777\n+4 1029870 0.02876453510426408\n+4 1030226 0.01425830829592147\n+4 1031121 0.01525873096885777\n+4 1032791 0.01843238994100031\n+4 1033089 0.01917635673617606\n+4 1033256 0.01525873096885777\n+4 1033699 0.01843238994100031\n+4 1033833 0.01360986045640215\n+4 1034350 0.03051746193771554\n+4 1035161 0.01425830829592147\n+4 1035177 0.03390712177033073\n+4 1037044 0.02721972091280431\n+4 1037251 0.01843238994100031\n+4 1037326 0.02876453510426408\n+4 1037360 0.01452957878032689\n+4 1037916 0.03172176621155059\n+4 1039281 0.02245327618246397\n+4 1039896 0.01917635673617606\n+4 1040201 0.01182101328014547\n+4 1040273 0.02379132465866294\n+4 1040325 0.02245327618246397\n+4 1040891 0.01843238994100031\n+4 1040913 0.02379132465866294\n+4 1042343 0.02245327618246397\n+4 1042547 0.01695356088516536\n+4 1042815 0.01586088310577529\n+4 1043231 0.01425830829592147\n+4 1043781 0.01525873096885777\n+4 1046133 0.01917635673617606\n+4 1046509 0.01843238994100031\n+4 1046561 0.03051746193771554\n+4 1046703 0.01917635673617606\n+4 1047335 0.01525873096885777\n+4 1047547 0.01360986045640215\n+4 1048455 0.02245327618246397\n' |
b |
diff -r 000000000000 -r 7bee4014724a test-data/vectorizer_result03.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/vectorizer_result03.mtx Sat Aug 04 12:46:28 2018 -0400 |
b |
b'@@ -0,0 +1,9697 @@\n+%%MatrixMarket matrix coordinate real general\n+%\n+4 1048577 9694\n+1 71 0.01361331290463183\n+1 1450 0.01361331290463183\n+1 1961 0.01140545001599714\n+1 3747 0.01361331290463183\n+1 3795 0.02049545933475693\n+1 4053 0.01414945072069242\n+1 4357 0.01293018149022739\n+1 4379 0.02049545933475693\n+1 4727 0.01140545001599714\n+1 5795 0.01704506020053583\n+1 6201 0.02556759030080374\n+1 7170 0.01199234924928183\n+1 8116 0.02049545933475693\n+1 8523 0.01293018149022739\n+1 8531 0.01704506020053583\n+1 9300 0.02041996935694774\n+1 10078 0.05077070567367346\n+1 10495 0.02911328391873078\n+1 12091 0.0471648357356414\n+1 12155 0.01704506020053583\n+1 13013 0.01356353828493919\n+1 13181 0.01361331290463183\n+1 13234 0.009704427972910257\n+1 13280 0.01361331290463183\n+1 14120 0.01704506020053583\n+1 14527 0.01361331290463183\n+1 14873 0.01293018149022739\n+1 15083 0.01361331290463183\n+1 15241 0.01293018149022739\n+1 15283 0.01694765905913661\n+1 16177 0.01140545001599714\n+1 17436 0.01361331290463183\n+1 19449 0.02016217762198948\n+1 20413 0.01361331290463183\n+1 20975 0.05188131930920554\n+1 21084 0.01293018149022739\n+1 21531 0.01288750750752746\n+1 22178 0.004716483573564139\n+1 22283 0.01496776720543493\n+1 22554 0.01939527223534108\n+1 22570 0.01293018149022739\n+1 22706 0.02586036298045478\n+1 22715 0.01288750750752746\n+1 23188 0.01361331290463183\n+1 23698 0.01140545001599714\n+1 24309 0.02016217762198948\n+1 24510 0.01293018149022739\n+1 24541 0.01288750750752746\n+1 25019 0.01140545001599714\n+1 26513 0.01199234924928183\n+1 26569 0.01692356855789115\n+1 26721 0.01293018149022739\n+1 27172 0.01293018149022739\n+1 27389 0.02556759030080374\n+1 28621 0.01293018149022739\n+1 29313 0.0224516508081524\n+1 29735 0.03384713711578231\n+1 30007 0.02556759030080374\n+1 30445 0.01361331290463183\n+1 30453 0.04490330161630479\n+1 30833 0.01199234924928183\n+1 31159 0.01704506020053583\n+1 31588 0.02577501501505492\n+1 31713 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0.01648847232539554\n+4 1033089 0.01715397885778408\n+4 1033256 0.01364951393205028\n+4 1033699 0.01648847232539554\n+4 1033833 0.01217453668277288\n+4 1034350 0.02729902786410057\n+4 1034513 0.02008530766406564\n+4 1035161 0.01275459788430996\n+4 1035177 0.030331207224535\n+4 1036844 0.02573096828667612\n+4 1037044 0.02434907336554575\n+4 1037226 0.02008530766406564\n+4 1037251 0.01648847232539554\n+4 1037326 0.02573096828667612\n+4 1037360 0.01299725962753113\n+4 1037916 0.02837632374130612\n+4 1038731 0.01364951393205028\n+4 1039281 0.02008530766406564\n+4 1039328 0.01715397885778408\n+4 1039896 0.01715397885778408\n+4 1040201 0.01057434499550492\n+4 1040273 0.02128224280597959\n+4 1040325 0.02008530766406564\n+4 1040381 0.02729902786410057\n+4 1040891 0.01648847232539554\n+4 1040913 0.02128224280597959\n+4 1041230 0.01364951393205028\n+4 1042343 0.02008530766406564\n+4 1042547 0.0151656036122675\n+4 1042627 0.01715397885778408\n+4 1042774 0.01715397885778408\n+4 1042815 0.01418816187065306\n+4 1043231 0.01275459788430996\n+4 1043781 0.01364951393205028\n+4 1044112 0.01364951393205028\n+4 1046133 0.01715397885778408\n+4 1046509 0.01648847232539554\n+4 1046561 0.02729902786410057\n+4 1046703 0.01715397885778408\n+4 1047335 0.01364951393205028\n+4 1047547 0.01217453668277288\n+4 1048455 0.02008530766406564\n' |
b |
diff -r 000000000000 -r 7bee4014724a test-data/vectorizer_result04.mtx --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/vectorizer_result04.mtx Sat Aug 04 12:46:28 2018 -0400 |
b |
b'@@ -0,0 +1,9697 @@\n+%%MatrixMarket matrix coordinate real general\n+%\n+4 1048577 9694\n+1 71 0.01361331290463183\n+1 1450 0.01361331290463183\n+1 1961 0.01140545001599714\n+1 3747 0.01361331290463183\n+1 3795 0.02049545933475693\n+1 4053 0.01414945072069242\n+1 4357 0.01293018149022739\n+1 4379 0.02049545933475693\n+1 4727 0.01140545001599714\n+1 5795 0.01704506020053583\n+1 6201 0.02556759030080374\n+1 7170 0.01199234924928183\n+1 8116 0.02049545933475693\n+1 8523 0.01293018149022739\n+1 8531 0.01704506020053583\n+1 9300 0.02041996935694774\n+1 10078 0.05077070567367346\n+1 10495 0.02911328391873078\n+1 12091 0.0471648357356414\n+1 12155 0.01704506020053583\n+1 13013 0.01356353828493919\n+1 13181 0.01361331290463183\n+1 13234 0.009704427972910257\n+1 13280 0.01361331290463183\n+1 14120 0.01704506020053583\n+1 14527 0.01361331290463183\n+1 14873 0.01293018149022739\n+1 15083 0.01361331290463183\n+1 15241 0.01293018149022739\n+1 15283 0.01694765905913661\n+1 16177 0.01140545001599714\n+1 17436 0.01361331290463183\n+1 19449 0.02016217762198948\n+1 20413 0.01361331290463183\n+1 20975 0.05188131930920554\n+1 21084 0.01293018149022739\n+1 21531 0.01288750750752746\n+1 22178 0.004716483573564139\n+1 22283 0.01496776720543493\n+1 22554 0.01939527223534108\n+1 22570 0.01293018149022739\n+1 22706 0.02586036298045478\n+1 22715 0.01288750750752746\n+1 23188 0.01361331290463183\n+1 23698 0.01140545001599714\n+1 24309 0.02016217762198948\n+1 24510 0.01293018149022739\n+1 24541 0.01288750750752746\n+1 25019 0.01140545001599714\n+1 26513 0.01199234924928183\n+1 26569 0.01692356855789115\n+1 26721 0.01293018149022739\n+1 27172 0.01293018149022739\n+1 27389 0.02556759030080374\n+1 28621 0.01293018149022739\n+1 29313 0.0224516508081524\n+1 29735 0.03384713711578231\n+1 30007 0.02556759030080374\n+1 30445 0.01361331290463183\n+1 30453 0.04490330161630479\n+1 30833 0.01199234924928183\n+1 31159 0.01704506020053583\n+1 31588 0.02577501501505492\n+1 31713 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b |
diff -r 000000000000 -r 7bee4014724a test-data/y.tabular --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/y.tabular Sat Aug 04 12:46:28 2018 -0400 |
b |
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b |
diff -r 000000000000 -r 7bee4014724a test-data/zero_one_loss.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/test-data/zero_one_loss.txt Sat Aug 04 12:46:28 2018 -0400 |
b |
@@ -0,0 +1,2 @@ +zero_one_loss : +0.15384615384615385 |