5 Python libraries to lighten your machine learning load
These libraries help speed up your data pipelines, use AWS Lambda to shred through computation-heavy jobs, and work with TensorFlow models minus TensorFlow Machine learning is exciting, but the work is complex and difficult. It typically involves a lot of manual lifting—assembling workflows and pipelines, setting up data sources, and shunting back and forth between on-prem and cloud-deployed resou
Welcome to Nimfa — Nimfa 1.3.1 documentation
Welcome to Nimfa¶ Nimfa is a Python library for nonnegative matrix factorization. It includes implementations of several factorization methods, initialization approaches, and quality scoring. Both dense and sparse matrix representation are supported. Nimfa is distributed under the BSD license. The sample script using Nimfa on medulloblastoma gene expression data is given below. It uses alternating
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