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Enable typing for external users (#868)
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from typing import Any | ||
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from numpy import ndarray | ||
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def ARMAtoMA( | ||
ar: ndarray, | ||
ma: ndarray, | ||
max_deg: int, | ||
) -> ndarray: ... | ||
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def seasonal_prediction_with_confidence( | ||
arima_res: Any, | ||
start: Any, | ||
end: Any, | ||
X: Any, | ||
alpha: Any, | ||
**kwargs: Any, | ||
) -> Any: ... |
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def initialize_warnings_in_workers(show_warnings: bool) -> None: ... |
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from typing import List | ||
from typing import Optional | ||
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import pandas as pd | ||
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def calculate_relevance_table( | ||
X: pd.DataFrame, | ||
y: pd.Series, | ||
ml_task: str = ..., | ||
multiclass: bool = ..., | ||
n_significant: int = ..., | ||
n_jobs: int = ..., | ||
show_warnings: bool = ..., | ||
chunksize: Optional[int] = ..., | ||
test_for_binary_target_binary_feature: str = ..., | ||
test_for_binary_target_real_feature: str = ..., | ||
test_for_real_target_binary_feature: str = ..., | ||
test_for_real_target_real_feature: str = ..., | ||
fdr_level: float = ..., | ||
hypotheses_independent: bool = ..., | ||
) -> pd.DataFrame: ... | ||
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def infer_ml_task(y: pd.Series) -> str: ... | ||
def combine_relevance_tables(relevance_tables: List[pd.DataFrame]) -> pd.DataFrame: ... | ||
def get_feature_type(feature_column: pd.Series) -> str: ... |
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import pandas as pd | ||
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def target_binary_feature_binary_test(x: pd.Series, y: pd.Series) -> float: ... | ||
def target_binary_feature_real_test(x: pd.Series, y: pd.Series, test: str) -> float: ... | ||
def target_real_feature_binary_test(x: pd.Series, y: pd.Series) -> float: ... | ||
def target_real_feature_real_test(x: pd.Series, y: pd.Series) -> float: ... |
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