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Merged
JohT merged 2 commits into from
Mar 1, 2026
Merged

Update python-machine-learning-libs #481

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469224d
Update python-machine-learning-libs
renovate[bot] Feb 12, 2026
208162f
Update conda env and numpy v2.2.5
JohT Mar 1, 2026
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10 changes: 5 additions & 5 deletions conda-environment.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -11,18 +11,18 @@ dependencies:
- matplotlib=3.10.8
- nbconvert=7.16.6
- nbconvert-webpdf=7.16.6
- numpy=1.26.4
- numpy=2.2.5
- pandas=2.2.3
- pip=25.0.1
- setuptools=80.9.0 # opentsne uses sklearn.base uses joblib uses distutils missing in Python >= 12 (TODO use native openTSNE?)
- wordcloud=1.9.6
- monotonic=1.6
- plotly=6.5.2
- python-kaleido=1.2.0 # To render plotly plots. Static image export for web-based visualization libraries.
- scikit-learn=1.6.1 # For anomaly detection HDBSCAN clustering, scores like AMI, and others
- scikit-learn=1.8.0 # For anomaly detection HDBSCAN clustering, scores like AMI, and others
- seaborn=0.13.2 # To visualize clustering results
- optuna=4.6.0
- umap-learn=0.5.9 # to visualize node embeddings in 2D (UMAP dimensionality reduction)
- shap=0.48.0
- optuna=4.7.0
- umap-learn=0.5.11 # to visualize node embeddings in 2D (UMAP dimensionality reduction)
- shap=0.50.0
- pip:
- neo4j==5.28.2
10 changes: 5 additions & 5 deletions requirements.txt
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Expand Up @@ -7,7 +7,7 @@
jupyter==1.1.1
matplotlib==3.10.8
nbconvert[webpdf]==7.16.6
numpy==1.26.4
numpy==2.2.5
pandas==2.3.3
pip==25.3
setuptools==80.9.0 # opentsne uses sklearn.base uses joblib uses distutils missing in Python >= 12 (TODO use native openTSNE?)
Expand All @@ -19,13 +19,13 @@ plotly[kaleido]==6.5.2
seaborn==0.13.2 # To visualize clustering results

# --- Machine Learning / Optimization ---
scikit-learn==1.7.2
optuna==4.6.0
umap-learn==0.5.9.post2 # Dimensionality reduction to visualize node embeddings in 2D
scikit-learn==1.8.0
optuna==4.7.0
umap-learn==0.5.11 # Dimensionality reduction to visualize node embeddings in 2D

# --- Database connector ---
neo4j==5.28.2

# --- Native/scientific packages (may require compilation) ---
# These are included but may cause install errors in pip/venv
shap==0.49.1 # For e.g. explaining anomaly detection results
shap==0.50.0 # For e.g. explaining anomaly detection results
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