comparison model_validation.xml @ 11:e4ab6b0bdf37 draft

planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit b1e5fa3170484d2cc3396f2abe99bb8cfcfa9c65

10:38df89cbed19

        <configfile name="sklearn_model_validation_script">
            <![CDATA[
import sys
import json
import pandas
import ast
import pickle
import numpy as np
import sklearn.feature_selection
from sklearn import preprocessing, model_selection, svm, linear_model, ensemble, naive_bayes, tree, neighbors
from sklearn.pipeline import Pipeline

@COLUMNS_FUNCTION@
@GET_ESTIMATOR_FUNCTION@
@FEATURE_SELECTOR_FUNCTION@


input_json_path = sys.argv[1]
with open(input_json_path, "r") as param_handler:
    params = json.load(param_handler)

        parse_dates=True
)
y=y.ravel()

options = params["model_validation_functions"]["options"]
if 'scoring' in options and options['scoring'] == '':
    options['scoring'] = None
if 'pre_dispatch' in options and options['pre_dispatch'] == '':
    options['pre_dispatch'] = None

11:e4ab6b0bdf37

        <configfile name="sklearn_model_validation_script">
            <![CDATA[
import sys
import json
import pandas
import re
import ast
import pickle
import numpy as np
import sklearn.feature_selection
from sklearn import preprocessing, model_selection, svm, linear_model, ensemble, naive_bayes, tree, neighbors
from sklearn.pipeline import Pipeline

@COLUMNS_FUNCTION@
@GET_ESTIMATOR_FUNCTION@
@FEATURE_SELECTOR_FUNCTION@
@SAFE_EVAL_FUNCTION@
@GET_CV_FUNCTION@


input_json_path = sys.argv[1]
with open(input_json_path, "r") as param_handler:
    params = json.load(param_handler)

        parse_dates=True
)
y=y.ravel()

options = params["model_validation_functions"]["options"]
options['cv'] = get_cv( options['cv'] )
if 'scoring' in options and options['scoring'] == '':
    options['scoring'] = None
if 'pre_dispatch' in options and options['pre_dispatch'] == '':
    options['pre_dispatch'] = None