Related Issues (20)
- Feature: Model Agnostic Explanability - Permutation Importance and Counterfactual
- Bug: TypeError: can only concatenate str (not "NoneType") to st HOT 1
- Bug: Unable to predict data using the model trained (Node: 'model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2' Table not initialized. [[{{node model/multi_category_encoding/string_lookup_22/None_Lookup/LookupTableFindV2}}]] [Op:__inference_predict_function_10129638] )
- Bug: HOT 4
- AttributeError: module 'numpy' has no attribute 'object' when using autokeras with structured data HOT 5
- Autokers textinput text classifier does not work.
- ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental'Bug: HOT 5
- Bug: import autokeras as ak --> ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental' HOT 9
- Bug: FatalTypeError: Expected the model-building function, or HyperModel.build() to return a valid Keras Model instance
- Bug: StructuredDataClassifier and StructuredDataRegressor gone? HOT 9
- Bug: Autokeras/TF fails with CUDA_ERROR_ILLEGAL_ADDRESS/CUDA_ERROR_INVALID_HANDLE when max_trials is not 1
- Bug: "Best val_accuracy So Far" is mistaken for "Best val_loss So Far"
- Feature: 希望AutoKeras可以基于目前最新的Keras3,支持Keras3的新特性!
- Why was the TimeSeries parts of the package removed in the latest version?
- Feature:
- Bug: HOT 1
- Bug: ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental' HOT 3
- Bug: trouble loading and using tensorflow savedmodel with custom input layer in keras, has been working fine for 2+ years and now currently looking for the solutions with my team HOT 1
- module 'autokeras' has no attribute 'StructuredDataClassifier' HOT 1
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from autokeras.