Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Builds fix #98

Merged
merged 2 commits into from
May 21, 2024
Merged

Builds fix #98

merged 2 commits into from
May 21, 2024

Conversation

MorrisNein
Copy link
Collaborator

No description provided.

@pep8speaks
Copy link

Hello @MorrisNein! Thanks for opening this PR. We checked the lines you've touched for PEP 8 issues, and found:

Line 38:1: E402 module level import not at top of file
Line 39:1: E402 module level import not at top of file
Line 40:1: E402 module level import not at top of file
Line 43:1: E402 module level import not at top of file
Line 523:121: E501 line too long (149 > 120 characters)
Line 577:121: E501 line too long (157 > 120 characters)
Line 596:84: F821 undefined name 'e'

Line 7:1: F401 'pandas as pd' imported but unused

Line 15:1: F811 redefinition of unused 'DatasetMetaFeatures' from line 14

@MorrisNein MorrisNein changed the base branch from main to docker_and_experiments May 21, 2024 08:57
@MorrisNein MorrisNein merged commit 295c7e2 into docker_and_experiments May 21, 2024
1 check passed
@MorrisNein MorrisNein deleted the builds_fix branch May 21, 2024 09:09
MorrisNein added a commit that referenced this pull request May 21, 2024
* add DatasetModelsFitnessScaler

* simplify imports

* typing & other fixes

* update DatasetModelsFitnessScaler to support different dataset types

* fix typing

* fix typing [2]

* add MetaLearningApproach

* add fedot_history_loader.py

* add KNNSimilarityModelAdvice

* minor fixes

* create Dockerfile abd .dockerignore

* create the experiment script & config

* adapt to #39

* add config for debugging

* remove data leak

* persist train/test datasets split

* add final choices to the best models

* fix pipeline evaluation, compute fitness on test data;

fix knn experiment;

add data split

* set TMPDIR from script

* set logging level of FEDOT

* create config_light.yaml

* fix train/test split

* add evaluation caching

* split config file

* increase debug fedot timeout

* minor fixes

* various experiment improvements & fixes

* add cache for AutoML repetitions

* adjust configs to advise 3 initial assumptions; add prefix for config_light.yaml

* fix after rebase

* fix after rebase

* some experiment fixes

* experiment stability update

* Builds fix (#98)

* remove redundant test

* remove codecov badge
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

2 participants