comparison ml_visualization_ex.py @ 36:420a4bf99244 draft

"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 208a8d348e7c7a182cfbe1b6f17868146428a7e2"

35:eeaf989f1024

import argparse
import json
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
import plotly
import plotly.graph_objs as go
import warnings

from keras.models import model_from_json
from keras.utils import plot_model
from sklearn.feature_selection.base import SelectorMixin
from sklearn.metrics import precision_recall_curve, average_precision_score
from sklearn.metrics import roc_curve, auc, confusion_matrix
from sklearn.pipeline import Pipeline
from galaxy_ml.utils import load_model, read_columns, SafeEval


safe_eval = SafeEval()

# plotly default colors

36:420a4bf99244

import argparse
import json
import os
import warnings

import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import plotly
import plotly.graph_objs as go
from galaxy_ml.utils import load_model, read_columns, SafeEval
from keras.models import model_from_json
from keras.utils import plot_model
from sklearn.feature_selection.base import SelectorMixin
from sklearn.metrics import auc, average_precision_score, confusion_matrix, precision_recall_curve, roc_curve
from sklearn.pipeline import Pipeline


safe_eval = SafeEval()

# plotly default colors