72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
# Sebastian Raschka 2014-2020
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# mlxtend Machine Learning Library Extensions
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#
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# A counter class for printing the progress of an iterator.
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# Author: Sebastian Raschka <sebastianraschka.com>
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#
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# License: BSD 3 clause
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import numpy as np
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def check_Xy(X, y, y_int=True):
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# check types
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if not isinstance(X, np.ndarray):
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raise ValueError('X must be a NumPy array. Found %s' % type(X))
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if not isinstance(y, np.ndarray):
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raise ValueError('y must be a NumPy array. Found %s' % type(y))
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if 'int' not in str(y.dtype):
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raise ValueError('y must be an integer array. Found %s. '
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'Try passing the array as y.astype(np.integer)'
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% y.dtype)
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if not ('float' in str(X.dtype) or 'int' in str(X.dtype)):
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raise ValueError('X must be an integer or float array. Found %s.'
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% X.dtype)
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# check dim
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if len(X.shape) != 2:
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raise ValueError('X must be a 2D array. Found %s' % str(X.shape))
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if len(y.shape) > 1:
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raise ValueError('y must be a 1D array. Found %s' % str(y.shape))
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# check other
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if y.shape[0] != X.shape[0]:
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raise ValueError('y and X must contain the same number of samples. '
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'Got y: %d, X: %d' % (y.shape[0], X.shape[0]))
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def format_kwarg_dictionaries(default_kwargs=None, user_kwargs=None,
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protected_keys=None):
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"""Function to combine default and user specified kwargs dictionaries
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Parameters
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----------
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default_kwargs : dict, optional
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Default kwargs (default is None).
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user_kwargs : dict, optional
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User specified kwargs (default is None).
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protected_keys : array_like, optional
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Sequence of keys to be removed from the returned dictionary
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(default is None).
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Returns
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-------
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formatted_kwargs : dict
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Formatted kwargs dictionary.
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"""
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formatted_kwargs = {}
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for d in [default_kwargs, user_kwargs]:
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if not isinstance(d, (dict, type(None))):
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raise TypeError('d must be of type dict or None, but '
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'got {} instead'.format(type(d)))
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if d is not None:
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formatted_kwargs.update(d)
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if protected_keys is not None:
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for key in protected_keys:
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formatted_kwargs.pop(key, None)
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return formatted_kwargs
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