Fix 'learner__loss' value in param_grid of basis.py #20
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Updated the value of the 'learner__loss' key in the param_grid of basis.py.
The previous value ('log') was incorrect, and was leading to the following error: "The 'loss' parameter of SGDClassifier must be a str among {'hinge', 'modified_huber', 'huber', 'squared_error', 'epsilon_insensitive', 'squared_epsilon_insensitive', 'perceptron', 'squared_hinge', 'log_loss'}. Got 'log' instead."
The current value ('log_loss') works as expected.
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Updated the value of the 'learner__loss' key in the param_grid of basis.py. The previous value ('log') was incorrect, and was leading to the following error: "The 'loss' parameter of SGDClassifier must be a str among {'hinge', 'modified_huber', 'huber', 'squared_error', 'epsilon_insensitive', 'squared_epsilon_insensitive', 'perceptron', 'squared_hinge', 'log_loss'}. Got 'log' instead." The current value ('log_loss') works as expected.