get rid of check that fails for semi-supervised matrices.
Jeanette Johnson authored on 01/03/2022 19:40:40
• GitHub committed on 01/03/2022 19:40:40
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@@ -74,10 +74,11 @@ setValidity("CogapsResult",
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"NA/Inf values in feature matrix" |
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if (any(is.na(object@sampleFactors)) | any(object@sampleFactors == Inf) | any(object@sampleFactors == -Inf)) |
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"NA/Inf values in sample matrix" |
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- if (sum(object@featureLoadings < 0) > 0 | sum(object@loadingStdDev < 0) > 0) |
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- "negative values in feature Matrix" |
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- if (sum(object@sampleFactors < 0) > 0 | sum(object@factorStdDev < 0) > 0) |
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- "negative values in sample Matrix" |
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+ # TODO: fix this check for semisupervised case |
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+ # if (sum(object@featureLoadings < 0) > 0 | sum(object@loadingStdDev < 0) > 0) |
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+ # "negative values in feature Matrix" |
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+ # if (sum(object@sampleFactors < 0) > 0 | sum(object@factorStdDev < 0) > 0) |
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+ # "negative values in sample Matrix" |
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} |
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) |
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