[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[],null,["# tf.contrib.learn.infer_real_valued_columns_from_input\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v1.15.0/tensorflow/contrib/learn/python/learn/estimators/estimator.py#L168-L183) |\n\nCreates `FeatureColumn` objects for inputs defined by input `x`. (deprecated) \n\n tf.contrib.learn.infer_real_valued_columns_from_input(\n x\n )\n\n| **Warning:** THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Please specify feature columns explicitly.\n\nThis interprets all inputs as dense, fixed-length float values.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|-----|------------------------------------------------------------------------------------------------------------|\n| `x` | Real-valued matrix of shape \\[n_samples, n_features...\\]. Can be iterator that returns arrays of features. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| List of `FeatureColumn` objects. ||\n\n\u003cbr /\u003e"]]
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