Tabular Regression
Keras
Joblib
English
battery
state-of-health
partial-discharge
regression
external-validation
data-leakage
Instructions to use NeerajCodz/aiBatteryLifeCycle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use NeerajCodz/aiBatteryLifeCycle with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://NeerajCodz/aiBatteryLifeCycle") - Notebooks
- Google Colab
- Kaggle
Download v3/dataset.json from NeerajCodz/aiBatteryLifeCycle: direct link, hf CLI and curl.
- Browser
- Download file 2.15 kB
-
https://huggingface.co/NeerajCodz/aiBatteryLifeCycle/resolve/main/v3/dataset.json
- Command line
-
hf download hf://NeerajCodz/aiBatteryLifeCycle/v3/dataset.json
-
curl -L -o dataset.json https://huggingface.co/NeerajCodz/aiBatteryLifeCycle/resolve/main/v3/dataset.json
2.15 kB
| { | |
| "version": "3.0.0", | |
| "generated_by": "scripts/prepare_model_release.py", | |
| "target": "current-cycle SOH; full-cycle capacity is label-only", | |
| "input_window": "4.0-3.6 V partial discharge", | |
| "datasets": [ | |
| { | |
| "dataset": "NASA", | |
| "rated_capacity_ah": 2.0, | |
| "retained_batteries": 30, | |
| "retained_cycles": 2141, | |
| "excluded_records": 740, | |
| "soh_min": 56.97473712535923, | |
| "soh_median": 90.2210217416506, | |
| "soh_max": 116.59858658068372 | |
| }, | |
| { | |
| "dataset": "Calce", | |
| "rated_capacity_ah": 1.1, | |
| "retained_batteries": 4, | |
| "retained_cycles": 3789, | |
| "excluded_records": 0, | |
| "soh_min": 26.37758176914103, | |
| "soh_median": 83.56385624056828, | |
| "soh_max": 100.11619883630505 | |
| }, | |
| { | |
| "dataset": "Oxford", | |
| "rated_capacity_ah": 0.74, | |
| "retained_batteries": 8, | |
| "retained_cycles": 519, | |
| "excluded_records": 0, | |
| "soh_min": 62.79936232780332, | |
| "soh_median": 87.48001796412875, | |
| "soh_max": 101.2403292669188 | |
| } | |
| ], | |
| "source_checksums_sha256": [ | |
| "84d88cb98a43c02049f16c78806a78ec19084776ea5df8a4b7c2f8f7ba4589e5 calce/CS2_35.zip", | |
| "2e674f58bb6dc005c73bef10e87edbbd97afd041dde77a1d461a3c4ecac1b027 calce/CS2_36.zip", | |
| "8ed8aecbcbea2bcb17f455923a974be01ea21d7389210e1912d177de5b6af4a5 calce/CS2_37.zip", | |
| "98787427c10478425efd4f54d823805724daff1d2fcbd822b3a2d7006a1051d8 calce/CS2_38.zip", | |
| "82302a7db4fc1b34e0b6676326610438d43b816bdf11a69d1d012a464ef2f92e nasa/5_Battery_Data_Set.zip", | |
| "a8f0b928f4ea77d7ba98b97194b78cc77336f2338fee8b57573d043f0cf26781 oxford/Oxford_Battery_Degradation_Dataset_1.mat" | |
| ], | |
| "feature_set": [ | |
| "cycle_index", | |
| "prior_equivalent_full_cycles", | |
| "ambient_temperature", | |
| "segment_duration_s", | |
| "segment_energy_wh", | |
| "voltage_start_v", | |
| "voltage_end_v", | |
| "voltage_mean_v", | |
| "voltage_std_v", | |
| "voltage_linear_slope_v_per_s", | |
| "voltage_curvature", | |
| "current_mean_c_rate", | |
| "current_std_c_rate", | |
| "temperature_mean_c", | |
| "temperature_std_c", | |
| "temperature_rise_c", | |
| "temperature_slope_c_per_s", | |
| "temperature_observed" | |
| ] | |
| } |