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Deep learning

Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

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transformers

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 Apr 3, 2022
  • Python
ericl
ericl commented May 3, 2022

Description

Per https://discuss.ray.io/t/how-do-i-sample-from-a-ray-datasets/5308, we should add a random_sample(N) API that returns N records from a Dataset. This can be implemented via a map_batches() followed by a take().

cc @simon-mo @clarkzinzow

Use case

Random sample is useful for a variety of scenarios, including creating training batches, and downsampling the dataset for

good first issue enhancement P2 datasets
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