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Tags

likely-rain-32

Notes
Author
State
Finished
Start time
April 21st, 2023 9:39:54 AM
Runtime
8m 35s
Tracked hours
8m 18s
Run path
dan-h/nyc_airbnb/33z5z46k
OS
macOS-10.16-x86_64-i386-64bit
Python version
3.8.16
Git repository
git clone https://github.com/DanRHowarth/nd0821-c2-build-model-workflow-starter.git
Git state
git checkout -b "likely-rain-32" 2b6a50c4384c583a18642a964fd1602d7d74ce00
Command
run.py --trainval_artifact clean_sample.csv:latest --val_size 0.2 --random_seed 42 --stratify_by neighbourhood_group --rf_config /private/var/folders/tj/rvkycgnj6y73sbnl8_d909k40000gn/T/tmpmw2ogfx4/outputs/2023-04-21/10-38-12/rf_config.json --max_tfidf_features 15 --output_artifact random_forest_export
System Hardware
CPU count8
W&B CLI Version
0.13.2
Job Type
train_random_forest
Config

Config parameters are your model's inputs. Learn more

  • {} 15 keys
    • "mae"
    • 15
    • 0.33
    • 15
    • 3
    • 4
    • 100
    • -1
    • true
    • "random_forest_export"
    • 42
    • "/private/var/folders/tj/rvkycgnj6y73sbnl8_d909k40000gn/T/tmpmw2ogfx4/outputs/2023-04-21/10-38-12/rf_config.json"
    • "neighbourhood_group"
    • "clean_sample.csv:latest"
    • 0.2
Summary

Summary metrics are your model's outputs. Learn more

  • {} 3 keys
    • {} 7 keys
      • 32.24280852896834
      • 0.5769162840152176
    Artifact Inputs

    This run consumed these artifacts as inputs. Learn more

    Type
    Name
    Consumer count
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    Artifact Outputs

    This run produced these artifacts as outputs. Total: 3. Learn more