b11bc09d5acf40f454b790a4f88b61424e016d07,tpot_export_class_conf.py,,,#,9
Before Change
training_features, testing_features, training_classes, testing_classes = \
train_test_split(features, tpot_data["class"], random_state=42)
exported_pipeline = make_pipeline(
RobustScaler(),
ExtraTreesClassifier(bootstrap=False, criterion="entropy", max_features=0.9500000000000001, min_samples_leaf=3, min_samples_split=20)
)
exported_pipeline.fit(training_features, training_classes)
results = exported_pipeline.predict(testing_features)
After Change
training_features, testing_features, training_classes, testing_classes = \
train_test_split(features, tpot_data["class"], random_state=42)
exported_pipeline = make_pipeline(
make_union(
FunctionTransformer(lambda X: X),
FunctionTransformer(lambda X: X)
),
GradientBoostingClassifier(learning_rate=0.5, max_depth=5, max_features=0.8500000000000001, min_samples_leaf=17, min_samples_split=11, subsample=0.45)
)
exported_pipeline.fit(training_features, training_classes)
results = exported_pipeline.predict(testing_features)
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 5
Instances
Project Name: EpistasisLab/tpot
Commit Name: b11bc09d5acf40f454b790a4f88b61424e016d07
Time: 2017-02-14
Author: weixuanf@upenn.edu
File Name: tpot_export_class_conf.py
Class Name:
Method Name:
Project Name: EpistasisLab/tpot
Commit Name: 154add50a17fec0754ab365ea88c3c485e49cd04
Time: 2017-02-14
Author: weixuanf@upenn.edu
File Name: tpot_export_class_conf.py
Class Name:
Method Name:
Project Name: EpistasisLab/tpot
Commit Name: 56b0296806a0af5540984c8be47e6e6f77e89845
Time: 2016-10-06
Author: rso@randalolson.com
File Name: tutorials/tpot_iris_pipeline.py
Class Name:
Method Name:
Project Name: EpistasisLab/tpot
Commit Name: 56b0296806a0af5540984c8be47e6e6f77e89845
Time: 2016-10-06
Author: rso@randalolson.com
File Name: tutorials/tpot_mnist_pipeline.py
Class Name:
Method Name: