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* Add sampling in GetInternalPaths * Add uniqueness check in Variables * Use StreamWriter instead of standard out * Add MaxContexts and output file parameters, add Reservoir sampling utility function * Flush stream to write last line * Pass ofile_name command line option to the python script * Change variable names to follow convention used * Specify ofile_name argument instead of stdout * Use a file pointed to by ofile_name rather than directing from stdout * Revert change in the Pool size * Use IDisposable to manage StreamWriter
…ataset)": initialize NUM_EXAMPLES as the number of examples in the new dataset,
doc: add to the README a way to get the trained (but not release) jav…
…mpl at word2vec.py; use common model base
…reader.dataset directly to model.fit() instead of using reader.dataset.iterator; rename "Model" ==> "Code2VecModel"; use common.SpecialDictWords in keras_model and reader; fix tensorflow.*python*.keras imports
Bumps [jackson-databind](https://github.com/FasterXML/jackson) from 2.9.10.1 to 2.9.10.4. - [Release notes](https://github.com/FasterXML/jackson/releases) - [Commits](https://github.com/FasterXML/jackson/commits) Signed-off-by: dependabot[bot] <[email protected]>
…Predict/com.fasterxml.jackson.core-jackson-databind-2.9.10.4 Bump jackson-databind from 2.9.10.1 to 2.9.10.4 in /JavaExtractor/JPredict
Simple change in the _TFEvaluateModelInputTensorsFormer class converter
fix model_dir creation
fix TFModel.evaluate() not to create saver when it exists
use parameter file_path instead of data_file_path
…FeaturesForDirsList`, removed shaddowing of python3 core `dir`
return 0 if precision and recall are zero
…ng of projects instead of loading them all at once. During batch processing, I also incorporated timeout handling.
update extract.py
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