Start working on a lite version of photonai

Author: NilsWinter

examples/basic/classification.py

@@ -1,6 +1,10 @@
 from photonai import ClassificationPipe
 from sklearn.datasets import load_breast_cancer
 from sklearn.model_selection import ShuffleSplit
+import warnings
+from sklearn.exceptions import ConvergenceWarning
+warnings.filterwarnings("ignore", category=FutureWarning)
+warnings.filterwarnings("ignore", category=ConvergenceWarning)
 
 
 X, y = load_breast_cancer(return_X_y=True)
@@ -11,5 +15,6 @@
                              imputation_nan_value=None,
                              feature_selection=False,
                              dim_reduction=True,
-                             n_pca_components=10)
+                             n_pca_components=10,
+                             verbosity=2)
 my_pipe.fit(X, y)

photonai/__init__.py

@@ -17,8 +17,7 @@
 from .base import Hyperpipe, OutputSettings, Stack, Switch, Branch, PipelineElement, ParallelBranch, \
     PhotonRegistry, DataFilter, CallbackElement, Preprocessing, ClassificationPipe, ClassifierSwitch, \
     RegressionPipe, RegressorSwitch
-from .optimization import FloatRange, IntegerRange, Categorical, MinimumPerformanceConstraint, \
-    BestPerformanceConstraint, DummyPerformanceConstraint, BooleanSwitch
+from .optimization import FloatRange, IntegerRange, Categorical, BooleanSwitch
 from .base.json_transformer import JsonTransformer
 from .processing.permutation_test import PermutationTest
 from .processing import ResultsHandler