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Data Science

Data science is an inter-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. Data scientists perform data analysis and preparation, and their findings inform high-level decisions in many organizations.

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superset

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  • Updated Nov 4, 2021
  • Python
pytorch-lightning
carmocca
carmocca commented Dec 17, 2021

🚀 Feature

When evaluation trainer.validate(verbose=True) (or test) finishes, we print a dictionary with the results obtained

--------------------------------------------------------------------------------
DATALOADER:0 TEST RESULTS
{'test_loss': -3.4134674072265625}
--------------------------------------------------------------------------------

https://github.co

dash
gensim
danieldeutsch
danieldeutsch commented Jun 2, 2021

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

nni