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tl;dr: We use dask to accelerate parameter searches over machine learning pipelines by naming consistently. This work builds on work done with Andreas Mueller, Olivier Grisel, with suggestions by Gael Varoquaux Disclaimer: this blogpost discusses experimental and buggy code. Outline¶Computational costs of machine learning applications are multiplied by the following: Pipelines of several transform
Wed 16 September 2015 Blaze is a Python library and interface to query data on different storage systems. Blaze works by translating a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze gives Python users a familiar interface to query data living in other data storage systems such as SQL databases, NoSQL data stores, Spark, Hive, Impala, and raw data fi
The Blaze ecosystem is a set of libraries that help users store, describe, query and process data. It is composed of the following core projects: Blaze: An interface to query data on different storage systems Dask: Parallel computing through task scheduling and blocked algorithms Datashape: A data description language DyND: A C++ library for dynamic, multidimensional arrays Odo: Data migration bet
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