openml / openml/OpenML

Qualities Query

Open
#1,132 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
PHP
Stars
755
Forks
128
PR merge metrics
No merged PRs in 30d

Description

TODO to self: add this query to the test server reset script

INSERT INTO quality(`type`,`name`,`datatype`,`min`,`max`) VALUES
('DataQuality', 'pymfe.attr_conc.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.attr_conc.sd','numerical',0,NULL),
('DataQuality', 'pymfe.attr_ent.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.attr_ent.sd','numerical',0,NULL),
('DataQuality', 'pymfe.attr_to_inst','numerical',NULL,NULL),
('DataQuality', 'pymfe.cat_to_num','numerical',0,NULL),
('DataQuality', 'pymfe.cohesiveness.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.cohesiveness.sd','numerical',0,NULL),
('DataQuality', 'pymfe.cor.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.cor.sd','numerical',0,NULL),
('DataQuality', 'pymfe.cov.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.cov.sd','numerical',0,NULL),
('DataQuality', 'pymfe.eigenvalues.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.eigenvalues.sd','numerical',0,NULL),
('DataQuality', 'pymfe.g_mean.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.g_mean.sd','numerical',0,NULL),
('DataQuality', 'pymfe.h_mean.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.h_mean.sd','numerical',0,NULL),
('DataQuality', 'pymfe.inst_to_attr','numerical',NULL,NULL),
('DataQuality', 'pymfe.iq_range.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.iq_range.sd','numerical',0,NULL),
('DataQuality', 'pymfe.kurtosis.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.kurtosis.sd','numerical',0,NULL),
('DataQuality', 'pymfe.mad.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.mad.sd','numerical',0,NULL),
('DataQuality', 'pymfe.max.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.max.sd','numerical',0,NULL),
('DataQuality', 'pymfe.mean.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.mean.sd','numerical',0,NULL),
('DataQuality', 'pymfe.median.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.median.sd','numerical',0,NULL),
('DataQuality', 'pymfe.min.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.min.sd','numerical',0,NULL),
('DataQuality', 'pymfe.nr_attr','numerical',0,NULL),
('DataQuality', 'pymfe.nr_bin','numerical',0,NULL),
('DataQuality', 'pymfe.nr_cat','numerical',0,NULL),
('DataQuality', 'pymfe.nr_cor_attr','numerical',0,NULL),
('DataQuality', 'pymfe.nr_inst','numerical',0,NULL),
('DataQuality', 'pymfe.nr_norm','numerical',0,NULL),
('DataQuality', 'pymfe.nr_num','numerical',0,NULL),
('DataQuality', 'pymfe.nr_outliers','numerical',0,NULL),
('DataQuality', 'pymfe.num_to_cat','numerical',0,NULL),
('DataQuality', 'pymfe.one_itemset.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.one_itemset.sd','numerical',0,NULL),
('DataQuality', 'pymfe.range.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.range.sd','numerical',0,NULL),
('DataQuality', 'pymfe.sd.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.sd.sd','numerical',0,NULL),
('DataQuality', 'pymfe.skewness.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.skewness.sd','numerical',0,NULL),
('DataQuality', 'pymfe.sparsity.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.sparsity.sd','numerical',0,NULL),
('DataQuality', 'pymfe.t2','numerical',NULL,NULL),
('DataQuality', 'pymfe.t3','numerical',NULL,NULL),
('DataQuality', 'pymfe.t4','numerical',NULL,NULL),
('DataQuality', 'pymfe.t_mean.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.t_mean.sd','numerical',0,NULL),
('DataQuality', 'pymfe.two_itemset.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.two_itemset.sd','numerical',0,NULL),
('DataQuality', 'pymfe.var.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.var.sd','numerical',0,NULL),
('DataQuality', 'pymfe.wg_dist.mean','numerical',NULL,NULL),
('DataQuality', 'pymfe.wg_dist.sd','numerical',0,NULL);

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Find the test server reset script referenced in the issue and inspect how existing quality records are inserted. Add the provided SQL there, then run the reset process and verify that all listed DataQuality rows are created.

Written by the indexing model from the issue text.

Assessment

Tech stack
sql
Domain
database
Issue type
Feature
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.