GenoML genoml2 issues - Githubissues

GenoML / genoml2

GenoML (genoml2) is an open source Python package. It is an automated machine learning (autoML) platform for genomics data

Apache License 2.0

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issues

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Updates to discrete output file and code structures

#43 syeboah1 opened 3 days ago
0
Microsoft PC - "pip install ." decoding error

#42 dazweibaum opened 1 year ago
0
fixing TypeError during training when all models are overfit

#41 mkoretsky1 opened 1 year ago
0
TypeError when all models are overfit

#40 mkoretsky1 closed 1 year ago
0
Create codeql.yml

#39 RafMo20D opened 1 year ago
0
Issue 33 repair: invoked discrete when using continuous

#38 njohnso6 opened 2 years ago
0
Fix issue #36: cannot find joblib file

#37 njohnso6 opened 2 years ago
0
CAnnot find joblib in supervised continuous test

#36 njohnso6 opened 2 years ago
0
Documentation for when not using plink/genotypes

#35 njohnso6 opened 2 years ago
0
Need guidance for users on what to do if fewer than 100 samples?

#34 njohnso6 opened 2 years ago
1
continuous becomes discrete when using umap_reduce

#33 njohnso6 opened 2 years ago
1
Too many arguments for continuous supervised tune

#32 njohnso6 opened 2 years ago
1
Munging Hang-up - Scalability issue with large files and pandas_plink conversion

#31 m-makarious opened 2 years ago
1
Add adjuster code to continuous portion of GenoML

#30 m-makarious opened 2 years ago
0
Adding CI to ROC plots

#29 m-makarious opened 2 years ago
0
suggest skip pruning at harmonization

#28 mikeDTI opened 3 years ago
0
umap-learn dependency

#27 mikeDTI closed 3 years ago
1
BayesSearchCV + more tunability

#26 mikeDTI opened 3 years ago
0
Discrete testing performance metrics not matching up with ROC plot output

#25 m-makarious closed 3 years ago
1
Incorrect probability plots being exported during discrete training

#24 m-makarious closed 3 years ago
1
Refactor GenoML munging code

#23 rockonrob opened 3 years ago
0
Modifications to discrete training

#22 m-makarious closed 3 years ago
0
Overfitting issue with automated training - not nominating actual best model

#21 m-makarious closed 3 years ago
2
Feature/refactoring

#20 mdmcastanos closed 3 years ago
0
--adjust_data crashes if features were removed during munging in earlier stages

#19 m-makarious closed 3 years ago
1
PLINK killing at mapping step when using --skip_prune, --gwas, and --p flags together

#18 m-makarious closed 3 years ago
1
Controlling stringency of r^2 in PLINK's pruning step during munging

#17 m-makarious closed 3 years ago
1
Adjuster and UMAP separately?

#16 m-makarious closed 3 years ago
1
Adjuster

#15 m-makarious closed 3 years ago
1
SGDClassifier gets eta < 0 bug at tune

#14 mikeDTI closed 4 years ago
3
Test outputs do not match - ROC curve and performance metrics are outputting different results

#13 m-makarious closed 4 years ago
10
Adding functionality to test additional datasets on tuned models

#12 m-makarious closed 3 years ago
1
Adjust genotypes for tSNE/UMAP/PC loadings

#11 mikeDTI closed 3 years ago
3
Secondary feature selection

#10 mikeDTI closed 3 years ago
1
ROC not reporting same value as exported predictions

#9 m-makarious closed 4 years ago
2
Exporting a list of features that go into the .h5 file after munging

#8 m-makarious closed 4 years ago
2
Sorting features by largest contribution when outputting *_approx_feature_importance.txt

#7 m-makarious closed 4 years ago
2
Feature Request: skip SNP pruning.

#6 mikeDTI closed 4 years ago
3
Interesting people put non-variant columns into ML experiments???

#5 mikeDTI closed 4 years ago
2
requirements.txt should include package version info

#4 mgibbs1259 closed 4 years ago
3
Cast IDs to strings in munging

#1 dvitale199 closed 3 years ago
0
Inaccurate Tuning ROC Curve generated at end of tuning

#3 dvitale199 closed 4 years ago
2
Uniform set of tag SNPs for distributed learning.

#2 mikeDTI opened 5 years ago
2