Releases: amaiya/ktrain
Releases · amaiya/ktrain
v0.41.3
0.41.3 (2024-04-05)
new:
changed
fixed:
Removed tf_keras
as dependencies due to issues in varioius dependencies
related to TF 2.16 and allow TF to prompt user for it (#528 )
Removed auto-setting TF_USE_LEGACY_KERAS
, as it causes problems in tensorflow<2.16
(#528 )
Unpin transformers
due to incompatibilites with different versions of TensorFlow.
0.41.2
0.41.2 (2024-03-11)
new:
changed
fixed:
Added tf_keras
to dependencies and set USE_TF_TF_USE_LEGACY_KERAS
(#525 )
v0.41.1
0.41.1 (2024-03-02)
new:
changed
fixed:
temporarily pinning to transformers==4.37.2
due to issue (#523 ) on Google Colab
v0.41.0
0.41.0 (2024-02-20)
new:
changed
Breaking Change : Removed the ktrain.text.qa.generative_qa
module. Users should use our OnPrem.LLM for generative question-answering (#522 )
fixed:
use arrays in TextPredictor
due to possible issues with tf.Dataset
(#521 )
v0.40.0
0.40.0 (2024-01-27)
new:
changed
Changed shallownlp.classifier
API with respect to hyperparameters and defaults
fixed:
Ensure weight files in checkpoint folder have val_loss
in file name (#519 )
v0.39.0
0.39.0 (2023-11-18)
new:
changed
Changes to custom eli5
and stellargraph
to support Python 3.11 (#515 )
fixed:
Switch from unmaintained cchardet
to charset-normalizer
(#512 )
Use textract-py3
instead of textract
(#511 )
v0.38.0
0.38.0 (2023-09-05)
new:
changed
Breaking Change : The generative_ai.LLM
class replaces generative_ai.GenerativeAI
is now powered by our OnPrem.LLM package (see [example notebook](https:// nbviewer.org/github/amaiya/ktrain/blob/develop/examples/text/generative_ai_example.ipynb)).
GenerativeQA
now recomends langchain==0.0.240
fixed:
v0.37.6
0.37.6 (2023-07-23)
new:
changed
fixed:
Removed pin to paper-qa==2.1.1
due to issue in latest langchain
release. Added notification to install langchain==0.0.180
v0.37.3
0.37.3 (2023-07-22)
new:
changed
fixed:
fix eda.py
topic visualization to work with bokeh>=3.0.0
(#504 )
v0.37.5
0.37.5 (2023-07-22)
new:
changed
fixed:
Removed pin on scikit-learn
, as eli5-tf
repo was updated to support scikit-learn>=1.3
(#505 )
pin to paper-qa==2.1.1
due to breaking changes (#506 )
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