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Add mean and std values per metric in CVResult #467

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Feb 19, 2022
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Add mean and std values per metric in CVResult #467

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16 changes: 15 additions & 1 deletion cornac/experiment/result.py
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Original file line number Diff line number Diff line change
Expand Up @@ -81,11 +81,21 @@ class CVResult(list):
----------
model_name: string, required
The name of the recommender model.

Attributes
----------
metric_mean: :obj:`OrderedDict`
A dictionary containing the mean of results across all folds per-metric.

metric_std: :obj:`OrderedDict`
A dictionary containing the standard deviation of results across all folds per-metric.
"""

def __init__(self, model_name):
super().__init__()
self.model_name = model_name
self.metric_mean = OrderedDict()
self.metric_std = OrderedDict()

def __str__(self):
return "[{}]\n{}".format(self.model_name, self.table)
Expand All @@ -99,12 +109,16 @@ def organize(self):

data = np.asarray(data)
mean, std = data.mean(axis=0), data.std(axis=0)

for m, mean_val, std_val in zip(headers, mean, std):
self.metric_mean[m] = mean_val
self.metric_std[m] = std_val

data = np.vstack([data, mean, std])
data = [[NUM_FMT.format(v) for v in row] for row in data]
index.extend(["Mean", "Std"])
self.table = _table_format(data, headers, index, h_bars=[1, len(data) - 1])


class PSTResult(list):
"""
Propensity Stratified Result Class for a single model
Expand Down