AutoML library for deep learning
APACHE-2.0 License
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keras>=3.0.0
instead of tf.keras
.CategoricalToNumerical
MultiCategoryEncoding
StructuredDataInput
StructuredDataBlock
StructuredDataClassifier
StructuredDataRegressor
TimeseriesInput
TimeseriesForecaster
Embedding
TextToIntSequence
TextToNgramVector
Transformer
Full Changelog: https://github.com/keras-team/autokeras/compare/1.1.0...2.0.0
Published by haifeng-jin over 1 year ago
BertTokenizer
or BertEncoder
in AutoKeras explicity. You are not affected if you only use BertBlock
, TextClassifier
or TextRegressor
. Removed the AutoKeras implementation of BertTokenizer
and BertEncoder
. Use keras-nlp
implementation instead.numpy>=1.24
.Full Changelog: https://github.com/keras-team/autokeras/compare/1.0.20...1.1.0
Published by haifeng-jin about 2 years ago
Full Changelog: https://github.com/keras-team/autokeras/compare/1.0.19...1.0.20
Published by haifeng-jin over 2 years ago
Full Changelog: https://github.com/keras-team/autokeras/compare/1.0.18...1.0.19
Published by haifeng-jin over 2 years ago
Please update to TensorFlow 2.8.0 and KerasTuner 1.1.0 to use this AutoKeras version.
Full Changelog: https://github.com/keras-team/autokeras/compare/1.0.17...1.0.18
Published by haifeng-jin over 2 years ago
docs
by @htbkooFull Changelog: https://github.com/keras-team/autokeras/compare/1.0.16...1.0.17
Published by haifeng-jin almost 3 years ago
.fit()
function if validation_data
is not provided.Published by haifeng-jin almost 3 years ago
docs
by @htbkoo in https://github.com/keras-team/autokeras/pull/1618
Full Changelog: https://github.com/keras-team/autokeras/compare/1.0.16...1.0.17rc1
Published by haifeng-jin about 3 years ago
docs
by @htbkoo in https://github.com/keras-team/autokeras/pull/1618
Full Changelog: https://github.com/keras-team/autokeras/compare/1.0.16...1.0.17rc0
Published by haifeng-jin about 3 years ago
.fit()
function if validation_data
is not provided.Published by haifeng-jin over 3 years ago
Published by haifeng-jin over 3 years ago
verbose
argument for AutoModel.fit
, AutoModel.predict
, and AutoModel.evaluate
.Published by haifeng-jin over 3 years ago
verbose
argument for AutoModel.fit
, AutoModel.predict
, and AutoModel.evaluate
.Published by haifeng-jin almost 4 years ago
num_units
, num_layers
, and dropout
of DenseBlock. Code Example
filters
, num_blocks
, and num_layers
of ConvBlock.AutoModel.predict(...)
.Published by haifeng-jin almost 4 years ago
num_units
, num_layers
, and dropout
of DenseBlock. Code Example
Published by haifeng-jin about 4 years ago
batch_size
by 2 when running out of memory.Published by haifeng-jin about 4 years ago
Published by haifeng-jin about 4 years ago
Published by haifeng-jin about 4 years ago
Published by haifeng-jin about 4 years ago