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Releases: CompML/PRTS

v1.0.0.3

17 Feb 08:36
0ec80c1
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Fix minor bug.

v1.0.0.2

08 Jan 10:09
c98d91d
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Merge pull request #67 from CompML/release/v1.0.0.1

publish v1.0.0.1

v1.0.0.1

04 Jan 03:42
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Merge pull request #67 from CompML/release/v1.0.0.1

publish v1.0.0.1

First Major Release

02 Jan 04:50
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v1.0.0.0

publish v1.0.0.0

Pre Release

31 Dec 05:32
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Pre Release Pre-release
Pre-release

Usage

from prts import ts_precision, ts_recall


# calculate time series precision score
precision_flat = ts_precision(real, pred, alpha=0.0, cardinality="reciprocal", bias="flat")
precision_front = ts_precision(real, pred, alpha=0.0, cardinality="reciprocal", bias="front")
precision_middle = ts_precision(real, pred, alpha=0.0, cardinality="reciprocal", bias="middle")
precision_back = ts_precision(real, pred, alpha=0.0, cardinality="reciprocal", bias="back")
print("precision_flat=", precision_flat)
print("precision_front=", precision_front)
print("precision_middle=", precision_middle)
print("precision_back=", precision_back)

# calculate time series recall score
recall_flat = ts_recall(real, pred, alpha=0.0, cardinality="reciprocal", bias="flat")
recall_front = ts_recall(real, pred, alpha=0.0, cardinality="reciprocal", bias="front")
recall_middle = ts_recall(real, pred, alpha=0.0, cardinality="reciprocal", bias="middle")
recall_back = ts_recall(real, pred, alpha=0.0, cardinality="reciprocal", bias="back")
print("recall_flat=", recall_flat)
print("recall_front=", recall_front)
print("recall_middle=", recall_middle)
print("recall_back=", recall_back)