Training, crossvalidation and testing binding thrombin dataset
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... | @@ -28,7 +28,7 @@ __author__ = 'CMendezC' | ... | @@ -28,7 +28,7 @@ __author__ = 'CMendezC' |
28 | # 6) --outputModelFile File to place output model. | 28 | # 6) --outputModelFile File to place output model. |
29 | # 7) --outputReportPath Path to place evaluation report. | 29 | # 7) --outputReportPath Path to place evaluation report. |
30 | # 8) --outputReportFile File to place evaluation report. | 30 | # 8) --outputReportFile File to place evaluation report. |
31 | -# 9) --classifier Classifier: BernoulliNB, SVM, NearestCentroid. | 31 | +# 9) --classifier Classifier: BernoulliNB, SVM, kNN. |
32 | # 10) --saveData Save matrices | 32 | # 10) --saveData Save matrices |
33 | # 11) --kernel Kernel | 33 | # 11) --kernel Kernel |
34 | # 12) --reduction Feature selection or dimensionality reduction | 34 | # 12) --reduction Feature selection or dimensionality reduction |
... | @@ -80,7 +80,7 @@ if __name__ == "__main__": | ... | @@ -80,7 +80,7 @@ if __name__ == "__main__": |
80 | help="File to place evaluation report", metavar="FILE") | 80 | help="File to place evaluation report", metavar="FILE") |
81 | parser.add_argument("--classifier", dest="classifier", | 81 | parser.add_argument("--classifier", dest="classifier", |
82 | help="Classifier", metavar="NAME", | 82 | help="Classifier", metavar="NAME", |
83 | - choices=('BernoulliNB', 'SVM', 'NearestCentroid'), default='SVM') | 83 | + choices=('BernoulliNB', 'SVM', 'kNN'), default='SVM') |
84 | parser.add_argument("--saveData", dest="saveData", action='store_true', | 84 | parser.add_argument("--saveData", dest="saveData", action='store_true', |
85 | help="Save matrices") | 85 | help="Save matrices") |
86 | parser.add_argument("--kernel", dest="kernel", | 86 | parser.add_argument("--kernel", dest="kernel", | ... | ... |
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