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Merge pull request #10 from mlf-core/development
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Updated train/test datasets and runs
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Zethson authored Apr 8, 2021
2 parents 5e11f0c + 3547270 commit d463c99
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2 changes: 1 addition & 1 deletion .github/workflows/publish_docker.yml
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Expand Up @@ -21,5 +21,5 @@ jobs:
username: mlf-core
password: '${{ secrets.MLF_CORE_SYNC_TOKEN}}'
registry: ghcr.io
tags: "latest,1.0.0"
tags: "latest,1.0.1"

4 changes: 2 additions & 2 deletions .github/workflows/train_cpu.yml
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Expand Up @@ -18,13 +18,13 @@ jobs:
with:
dockerfile: Dockerfile
repository: ghcr.io/mlf-core/lcep
tags: 1.0.0
tags: 1.0.1
push: false

- name: Setup Python
uses: actions/setup-python@v1
with:
python-version: ${{ matrix.python }}
python-version: ${{ matrix.python }}

- name: Install mlflow
run: pip install mlflow
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2 changes: 1 addition & 1 deletion .mlf_core.yml
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Expand Up @@ -15,5 +15,5 @@ email: [email protected]
project_name: lcep
project_short_description: Classifying cancerous liver samples from gene expression
data.
version: 1.0.0
version: 1.0.1
license: MIT
14 changes: 14 additions & 0 deletions CHANGELOG.rst
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Expand Up @@ -5,6 +5,20 @@ Changelog
This project adheres to `Semantic Versioning <https://semver.org/>`_.


1.0.1 (2021-04-08)
------------------

**Added**

**Fixed**

* Fixed train/test dataset float point variation of some samples. The new dataset was generated by the nextflow-lcep pipeline.

**Dependencies**

**Deprecated**


1.0.0 (2021-03-11)
------------------

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4 changes: 2 additions & 2 deletions MLproject
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@@ -1,13 +1,13 @@
# Author: Lukas Heumos
# Email: [email protected]
# Version: 1.0.0
# Version: 1.0.1
# License: MIT

name: lcep

# conda_env: environment.yml
docker_env:
image: ghcr.io/mlf-core/lcep:1.0.0
image: ghcr.io/mlf-core/lcep:1.0.1
volumes: ["${PWD}/data:/data"]

entry_points:
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1,056 changes: 528 additions & 528 deletions data/test.tsv

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1,056 changes: 528 additions & 528 deletions data/train.tsv

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4 changes: 2 additions & 2 deletions docs/conf.py
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Expand Up @@ -53,9 +53,9 @@
# the built documents.
#
# The short X.Y version.
version = '1.0.0'
version = '1.0.1'
# The full version, including alpha/beta/rc tags.
release = '1.0.0'
release = '1.0.1'

# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
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14 changes: 7 additions & 7 deletions docs/usage.rst
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Expand Up @@ -40,10 +40,10 @@ You can replace ``all`` with specific GPU ids (e.g. 0) if desired.
Parameters
+++++++++++++++

- training-data Path to the training data csv file ['train.csv': string]
- test-data Path to the test data csv file ['test.csv': string]
- cuda: Whether to train with CUDA support (=GPU) ['True': string]
- max_epochs: Number of epochs to train [1000: int]
- general-seed: Python, Random, Numpy seed [0: int]
- xgboost-seed: XGBoost specific seed [0: int]
- single-precision-histogram Whether to enable `single precision for histogram building <https://xgboost.readthedocs.io/en/latest/parameter.html#additional-parameters-for-hist-and-gpu-hist-tree-method>`_ ['True': string]
- ``training-data`` Path to the training data csv file ``['train.csv': string]``
- ``test-data`` Path to the test data csv file ``['test.csv': string]``
- ``cuda`` Whether to train with CUDA support (=GPU) ``['True': string]``
- ``max_epochs`` Number of epochs to train ``[1000: int]``
- ``general-seed`` Python, Random, Numpy seed ``[0: int]``
- ``xgboost-seed`` XGBoost specific seed ``[0: int]``
- ``single-precision-histogram`` Whether to enable `single precision for histogram building <https://xgboost.readthedocs.io/en/latest/parameter.html#additional-parameters-for-hist-and-gpu-hist-tree-method>`_ ``['True': string]``
2 changes: 1 addition & 1 deletion mlf_core.cfg
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@@ -1,5 +1,5 @@
[bumpversion]
current_version = 1.0.0
current_version = 1.0.1

[bumpversion_files_whitelisted]
dot_mlf_core = .mlf_core.yml
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151 changes: 0 additions & 151 deletions mlruns/0/001340615e0748de91c15a9f0afd111f/artifacts/model/MLmodel

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