Jun 22, 2018 · Image 1: Folder Structure. For each of the flower types, the training dataset had between 27–206 images, the validation dataset had between 1–28 images, and the testing dataset had between 2 ...

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    The output cannot be monotonically constrained with respect to a categorical feature. params : dict or None, optional (default=None) Other parameters for Dataset. free_raw_data : bool, optional (default=True) If True, raw data is freed after constructing inner Dataset. """ self. handle = None self. data = data self. label = label self ...

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    Note: Weights are per-row observation weights and do not increase the size of the data frame. This is typically the number of times a row is repeated, but non-integer values are supported as well. During training, rows with higher weights matter more, due to the larger loss function pre-factor.

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