{
  "source_repository": "https://github.com/isaacovercast/pygf",
  "source_commit": "b3a52c59ba385e44cef61fca6b26f3e2c96cade8",
  "input_sha256": {
    "examples/Pguttatus.vcf": "804866c0c9a16fd64b843c19ef19d32e830e93363a2298579b5cd67de19c1cd5",
    "examples/Pguttatus_coords.txt": "39e0cbc5eaf1a6231f07da284c859d2255e8b1145b4531733e8913ac02e714ab",
    "envs/wc2.1_2.5m_bio_1.tif": "e776e42c80de9c2c739aaccf8995c87956ae5e7b38bb104cb050e3109b677daa",
    "envs/wc2.1_2.5m_bio_10.tif": "e4e88bf80f64ae40ff71def828cd11499036ee58ac12f5a49e706010782d0d39",
    "envs/wc2.1_2.5m_bio_11.tif": "cbc1408b68c783cce4ecee82ee604381a348160d20406f64229c8b1a10e3c526",
    "envs/wc2.1_2.5m_bio_12.tif": "345831c721ead79efb2bdc4790b39cad942f466af84c63f21bcfc364dda433bc",
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    "envs/wc2.1_2.5m_bio_14.tif": "42305aeccb43c9bfa292382234ccedcf1490259117db47286bd0144929e860ec",
    "envs/wc2.1_2.5m_bio_15.tif": "6d5ae6389251a7545dc1dc71f2ddc65898e71d71c52e7a1f16bbbc86c969976e",
    "envs/wc2.1_2.5m_bio_16.tif": "2bbb8f08154ed7e5db16fb98aa81d33d6d58c84e3a6c9dc73d1db1d8f79769c8",
    "envs/wc2.1_2.5m_bio_17.tif": "bbda55815ba318c0b9a0e3fef1819bd5df62e022e5152c4e6aafbfee5a095c68",
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    "envs/wc2.1_2.5m_bio_19.tif": "0f9399439f2f911014ad5219bfa65e1e841f960e40cc27fa5b39c86c1dc16d0e",
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    "envs/wc2.1_2.5m_bio_5.tif": "5c301b90e8a83d0a9b57d592a36ee5a07eeb228a20184c78cba6d0419fc4f5fb",
    "envs/wc2.1_2.5m_bio_6.tif": "fc737cc086c5c81e2c46e84af63d352d60bb051ea378361d0245eb2f3d674896",
    "envs/wc2.1_2.5m_bio_7.tif": "bdd59a7749b6d8f1d53713acc44daace558e02c04066e3fa647feaa107d42597",
    "envs/wc2.1_2.5m_bio_8.tif": "70f430fa247a3687db88deb4158111c4d4535f545c8ca2eeef98c396d2198ae4",
    "envs/wc2.1_2.5m_bio_9.tif": "8d00a8b920d89ac909264990e19a95432275bb94706adca830322d4482a7c964"
  },
  "python": "3.11.13",
  "numpy": "2.4.6",
  "sklearn": "1.9.1",
  "n_samples": 36,
  "n_predictors": 19,
  "n_snps": 256,
  "n_contributing": 136,
  "n_estimators": 100,
  "max_level": 2,
  "random_state": 42,
  "min_call_rate": 0.8,
  "min_maf": 0.05,
  "one_per_contig": true,
  "map_stride": 4,
  "map_buffer": 0.2,
  "top_predictor": "bio18",
  "single_snp": "RAD_11467:26:C:A",
  "importance": {
    "bio18": 0.04396863658217548,
    "bio19": 0.032269324346925046,
    "bio12": 0.029474313331338594,
    "bio9": 0.024643683248678352,
    "bio17": 0.020378767911900197,
    "bio14": 0.018557526302453047,
    "bio5": 0.0158764410512737,
    "bio16": 0.015493686727740822,
    "bio7": 0.013163541340301644,
    "bio15": 0.009043789681498906,
    "bio10": 0.008723206368236125,
    "bio13": 0.007658562170756084,
    "bio6": 0.005066392865451695,
    "bio2": 0.004651902167022125,
    "bio3": 0.004387780415476372,
    "bio4": 0.004127664307842592,
    "bio1": 0.003855302521302387,
    "bio8": 0.003652393013232761,
    "bio11": 0.0030302393349223057
  },
  "oob_r2_range": [
    -0.5149840426250409,
    0.817140748070568
  ],
  "biplot_explained_variance_ratio": [
    0.6915046857751624,
    0.14394682292831718,
    0.101743343406184
  ],
  "illustration": "turnover-explained uses invented values; all other plots use the example fit"
}