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Issue 39: Resolve issue with execute_model function #40

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merged 2 commits into from
May 29, 2019
Merged

Issue 39: Resolve issue with execute_model function #40

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4954887
Resolve issue with execute_model function
May 15, 2019
5e74853
Fix execute_model docstring
May 15, 2019
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8 changes: 4 additions & 4 deletions cardea/cardea.py
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Original file line number Diff line number Diff line change
Expand Up @@ -162,7 +162,7 @@ def generate_features(self, cutoff):

def execute_model(self, feature_matrix, target, primitives,
optimize=False, hyperparameters=None):
"""Executes and predict all the pipelines.
"""Executes and predicts all of the pipelines.

This method executes the given pipeline and returns a list for all the pipelines
with the result of each fold with its associated predicted values and actual values.
Expand All @@ -171,7 +171,7 @@ def execute_model(self, feature_matrix, target, primitives,
data_frame: A dataframe, which encapsulates all the records of that entity.
primitives_list: A list of the primitives within a pipeline.
optimize: A boolean value which indicates whether to optimize the model or not.
hyperparameters: A dictionary of hyperparameters for each primitives.
hyperparameters: A dictionary of hyperparameters for each primitive.

Returns:
A list for all the executed pipelines and its result.
Expand All @@ -182,8 +182,8 @@ def execute_model(self, feature_matrix, target, primitives,
target=target,
primitives_list=primitives,
problem_type=self.chosen_problem.prediction_type,
optimize=False,
hyperparameters=None
optimize=optimize,
hyperparameters=hyperparameters
)

def convert_to_json(dic):
Expand Down