Autokeras Versions Save

AutoML library for deep learning

1.0.15

2 years ago
  • Adapt to KerasTuner 1.0.3.
  • Raise the minimum version requirement for KerasTuner to 1.0.3.

1.0.14

2 years ago
  • Support TensorFlow 2.5.0.
  • Beta release of Timeseries Forecasting. Tutorial
  • More blocks support passing hyperparameters to arguments. Including BertBlock, RNNBlock, Transformer, and Embedding. Code Example
  • Support verbose argument for AutoModel.fit, AutoModel.predict, and AutoModel.evaluate.
  • Move the download of weights of pretrained BERT to GitHub assets.

1.0.13

2 years ago
  • Support TensorFlow 2.5.0.
  • Beta release of Timeseries Forecasting. Tutorial
  • More blocks support passing hyperparameters to arguments. Including BertBlock, RNNBlock, Transformer, and Embedding. Code Example
  • Support verbose argument for AutoModel.fit, AutoModel.predict, and AutoModel.evaluate.

1.0.12

3 years ago
  • Compatible with TensorFlow 2.4.
  • Support specify search space for num_units, num_layers, and dropout of DenseBlock. Code Example
  • Support specify search space for filters, num_blocks, and num_layers of ConvBlock.
  • Add Keras Tuner to dependency to be installed automatically.
  • Bug fix for multi-model data AutoModel.predict(...).

1.0.11

3 years ago
  • Compatible with TensorFlow 2.4.
  • Support specify search space for num_units, num_layers, and dropout of DenseBlock. Code Example

1.0.10

3 years ago
  • Reduces batch_size by 2 when running out of memory.
  • Add pretrained EfficientNet to the search space.
  • Support load data from disk. For more details, read our tutorials on the official website.
  • Put data type casting and reshaping into the exported Keras Model.
  • Fixed the bug of breaking when validation_data is a tf.data.Dataset instance.

1.0.9

3 years ago
  • Improved text data performance by adding pretrained BERT model to the search space.
  • Added Adam optimizer with weight decay to the search space.

1.0.8

3 years ago
  • Performance improvements for structured data classification and regression tasks.
  • Bug fix for not using the best number of epochs for the final model training when validation data is not provided.

1.0.7

3 years ago
  • Bug fix for using multiple GPUs.
  • Bug fix for KeyError when searching for large number of trials.
  • Grammar fixes for error messages.

1.0.6

3 years ago
  • Reduced GPU memory consumption.
  • Optimized greedy tuning algorithm.
  • Support using multiple GPUs.