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Test all estimators' predict method for Moscow test data #26 (#32)
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We exported data from yaImpute for the five core estimators at k=5
for both unweighted (equal-weighting to all neighbors) and weighted
(neighbors are weighted by their inverse distance) predictions of the
y attributes.  The tests assert that the predict method in each
estimator is returning the same values.  Note that the constructor
of each estimator uses a custom function (yaimpute_weights) to the
weights parameter in order to match the weighting scheme of yaImpute.

This commit fixes #26.
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@grovduck
grovduck committed May 31, 2023
1 parent f9a9878 commit fc44bec
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Showing 12 changed files with 402 additions and 9 deletions.
8 changes: 8 additions & 0 deletions tests/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,12 @@ def __init__(self, project, method, k=5):
trg_neighbors_df = pd.read_csv(
f"./tests/data/{method}_{project}_trg_neighbors_k{k}.csv"
)
trg_predicted_weighted_df = pd.read_csv(
f"./tests/data/{method}_{project}_trg_predicted_weighted_k{k}.csv"
)
trg_predicted_unweighted_df = pd.read_csv(
f"./tests/data/{method}_{project}_trg_predicted_unweighted_k{k}.csv"
)
env_df = pd.read_csv(f"./tests/data/{project}_env.csv")
spp_df = pd.read_csv(f"./tests/data/{project}_spp.csv")
cols = [f"K{i+1}" for i in range(k)]
Expand All @@ -24,6 +30,8 @@ def __init__(self, project, method, k=5):
self.ref_neighbors = ref_neighbors_df.loc[:, cols].values
self.trg_distances = trg_distances_df.loc[:, cols].values
self.trg_neighbors = trg_neighbors_df.loc[:, cols].values
self.trg_predicted_weighted = trg_predicted_weighted_df.iloc[:, 1:].values
self.trg_predicted_unweighted = trg_predicted_unweighted_df.iloc[:, 1:].values

self.X = env_df.iloc[:, 1:].values
self.y = spp_df.iloc[:, 1:].values
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34 changes: 34 additions & 0 deletions tests/data/euclidean_moscow_trg_predicted_unweighted_k5.csv
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ID,ABGR_BA,ABLA_BA,ACGL_BA,BEOC_BA,LAOC_BA,PICO_BA,PIEN_BA,PIMO_BA,PIPO_BA,POBA_BA,POTR_BA,PSME_BA,SAEX_BA,THPL_BA,TSHE_BA,TSME_BA,UNKN_BA,Total_BA,ABGR_TD,ABLA_TD,ACGL_TD,BEOC_TD,LAOC_TD,PICO_TD,PIEN_TD,PIMO_TD,PIPO_TD,POBA_TD,POTR_TD,PSME_TD,SAEX_TD,THPL_TD,TSHE_TD,TSME_TD,UNKN_TD
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34 changes: 34 additions & 0 deletions tests/data/euclidean_moscow_trg_predicted_weighted_k5.csv
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ID,ABGR_BA,ABLA_BA,ACGL_BA,BEOC_BA,LAOC_BA,PICO_BA,PIEN_BA,PIMO_BA,PIPO_BA,POBA_BA,POTR_BA,PSME_BA,SAEX_BA,THPL_BA,TSHE_BA,TSME_BA,UNKN_BA,Total_BA,ABGR_TD,ABLA_TD,ACGL_TD,BEOC_TD,LAOC_TD,PICO_TD,PIEN_TD,PIMO_TD,PIPO_TD,POBA_TD,POTR_TD,PSME_TD,SAEX_TD,THPL_TD,TSHE_TD,TSME_TD,UNKN_TD
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2009,9.56268511422794,0,0,0,3.43530351740615,1.13017906226425,0,0.182671195244752,16.169316769368,0,0,7.25153966898085,0,20.7965166347573,1.54023748194936,0,0,60.0684494434363,172.084598206535,0,0,0,50.344419400948,17.2198600369723,0,4.74965852850221,126.838147505929,0,0,135.710363802295,0,124.634193675251,16.77099873449,0,0
2010,13.105185835091,0,0,0,3.97821013265414,0.785074987422847,0,0.191279663593661,4.73211288051684,0,0,21.9875147271026,0,8.75484545481946,6.16690865915997,0,0.344809760006614,60.045942100897,244.922679547452,0,0,0,45.4080884639571,9.64838695026719,0,4.97348848185614,16.5373907610363,0,0,280.288725627345,0,171.289473268542,167.747427157501,0,5.33194392368
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