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2.0 2.0 5.0 34.4 MB

Repository of functions or algorithms packaged (with Docker) for Algorithm Factory/Woken

Shell 20.01% Java 21.97% Python 42.28% R 3.27% HTML 4.71% Rebol 0.05% PostScript 0.37% Scala 0.33% Dockerfile 7.00%
algorithm-library analytics docker-images pfa-standard

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algorithm-repository's Issues

Python tSNE failed

Using hbpmip/python-tsne:0.3.3 with the following parameters against sample data

PARAM_covariables=""
PARAM_grouping=""
PARAM_meta="{"minimentalstate":{"description":"The Mini–Mental State Examination (MMSE) or Folstein test is a 30-point questionnaire that is used extensively in clinical and research settings to measure cognitive impairment. It is commonly used to screen for dementia.","methodology":"mip-cde","label":"MMSE Total scores","minValue":0,"code":"minimentalstate","maxValue":30.0,"type":"integer"}}"
PARAM_query="SELECT "minimentalstate" FROM cde_features_a WHERE "minimentalstate" IS NOT NULL"
PARAM_variables="minimentalstate"

atsne: perplexity: 30, iters: 1000, input: /tmp/tmpoax_tmpj, output: /tmp/tmptfdm4ja6, dims: 0x0
end atsne
/usr/local/lib/python3.6/site-packages/scipy/stats/stats.py:2241: RuntimeWarning: Mean of empty slice.
mns = a.mean(axis=axis)
/usr/local/lib/python3.6/site-packages/numpy/core/_methods.py:135: RuntimeWarning: Degrees of freedom <= 0 for slice
keepdims=keepdims)
Traceback (most recent call last):
File "/tsne.py", line 278, in
main()
File "/tsne.py", line 99, in main
chart = generate_scatterchart(output, indep_vars, labels, perplexity, theta, iterations)
File "/tsne.py", line 238, in generate_scatterchart
'series': get_chart_series(data, labels)
File "/tsne.py", line 266, in get_chart_series
sub_data = data[mask[:, 0], :]
IndexError: boolean index did not match indexed array along dimension 0; dimension is 0 but corresponding boolean dimension is 757

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