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minepy - Maximal Information-based Nonparametric Exploration — minepy 1.3.0 documentation

MATLAB and OCTAVE API. Minepy - Maximal Information-based Nonparametric Exploration. Minepy - Maximal Information-based Nonparametric Exploration. Minepy provides an ANSI C library. For the Maximal Information-based Nonparametric Exploration ( MIC. The original algorithm, DOI: 10.1126/science.1205438) and MIC e. DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators;. TIC, DOI: arXiv:1505.02213) and the Generalized Mean Information Coefficient. GMIC, DOI: arXiv:1308.5712);. An efficient Python API.

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minepy - Maximal Information-based Nonparametric Exploration — minepy 1.3.0 documentation | minepy.readthedocs.io Reviews

https://minepy.readthedocs.io

MATLAB and OCTAVE API. Minepy - Maximal Information-based Nonparametric Exploration. Minepy - Maximal Information-based Nonparametric Exploration. Minepy provides an ANSI C library. For the Maximal Information-based Nonparametric Exploration ( MIC. The original algorithm, DOI: 10.1126/science.1205438) and MIC e. DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators;. TIC, DOI: arXiv:1505.02213) and the Generalized Mean Information Coefficient. GMIC, DOI: arXiv:1308.5712);. An efficient Python API.

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MINE Application — minepy 1.3.0 documentation

http://minepy.readthedocs.io/en/latest/application.html

Spellman Gene Expression dataset. MATLAB and OCTAVE API. The mine application is a script (installed together the minepy library) which computes the MINE statistics on a comma-separated values (CSV) file. The first column of the file must contain the variable names and each variable must have the same number of samples. The file must be in the form:. The input file can contain missing values (new in minepy 1.1.0):. Spellman Gene Expression dataset. From a terminal, run:. From a terminal, run:.

2

C API — minepy 1.3.0 documentation

http://minepy.readthedocs.io/en/latest/libmine.html

Convenience structures and functions. MATLAB and OCTAVE API. This chapter describes the mine C library. These functions and structures are declared in the header file. Folder. You need to add. In your C source files and link your program with. Original estimator described in DOI: 10.1126/science.1205438. Estimator described in DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214. The libmine version in the form X.Y.Z (e.g., 1.0.1). 0, 10] or =4. EST MIC APPROX, EST MIC E). The mine score structure contains th...

3

Index — minepy 1.3.0 documentation

http://minepy.readthedocs.io/en/latest/genindex.html

MATLAB and OCTAVE API. Compute score() (minepy.MINE method). Computed() (minepy.MINE method). Cstats() (in module minepy). Get score() (minepy.MINE method). Gmic() (minepy.MINE method). Libmine version (C variable). Mas() (minepy.MINE method). Mcn() (minepy.MINE method). Mcn general() (minepy.MINE method). Mev() (minepy.MINE method). Mic() (minepy.MINE method). MINE: MINE: compute score (C function). MINE: MINE: mas (C function). MINE: MINE: mcn (C function). MINE: MINE: mcn general (C function).

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minepy - Maximal Information-based Nonparametric Exploration — minepy 1.1.0 documentation

http://minepy.readthedocs.io/en/v1.1.0

MATLAB and OCTAVE API. Minepy - Maximal Information-based Nonparametric Exploration. Minepy - Maximal Information-based Nonparametric Exploration. Minepy provides an ANSI C library. For the Maximal Information-based Nonparametric Exploration ( MIC. The original algorithm, DOI: 10.1126/science.1205438) and MIC e. DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators;. TIC, DOI: arXiv:1505.02213) and the Generalized Mean Information Coefficient. GMIC, DOI: arXiv:1308.5712);. An efficient Python API.

5

Python Module Index — minepy 1.3.0 documentation

http://minepy.readthedocs.io/en/latest/py-modindex.html

MATLAB and OCTAVE API. Provided by Read the Docs. On Read the Docs. Free document hosting provided by Read the Docs.

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minepy - Maximal Information-based Nonparametric Exploration — minepy 1.3.0 documentation

MATLAB and OCTAVE API. Minepy - Maximal Information-based Nonparametric Exploration. Minepy - Maximal Information-based Nonparametric Exploration. Minepy provides an ANSI C library. For the Maximal Information-based Nonparametric Exploration ( MIC. The original algorithm, DOI: 10.1126/science.1205438) and MIC e. DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators;. TIC, DOI: arXiv:1505.02213) and the Generalized Mean Information Coefficient. GMIC, DOI: arXiv:1308.5712);. An efficient Python API.

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