dataframe-hasktorch 0.4.0.1 → 0.4.0.2

raw patch · 2 files changed

+5/−17 lines, 2 filesdep ~dataframe-coredep ~dataframe-operations

Dependency ranges changed: dataframe-core, dataframe-operations

Files

• dataframe-hasktorch.cabal +3/−3
• src/DataFrame/Hasktorch.hs +2/−14

@@ -1,6 +1,6 @@ cabal-version:      3.0 name:               dataframe-hasktorch-version:            0.4.0.1+version:            0.4.0.2 synopsis:           Converts between dataframes and hasktorch tensors  description:        @@ -37,8 +37,8 @@      build-depends:    base >= 4.11 && < 5,                       vector >= 0.13 && < 0.15,-                      dataframe-core ^>= 2.2,-                      dataframe-operations ^>= 2.2,+                      dataframe-core ^>= 2.6,+                      dataframe-operations ^>= 2.6,                       hasktorch >= 0.2.1.6 && < 0.3      hs-source-dirs:   src

@@ -14,13 +14,7 @@ import DataFrame.Core (DataFrame) import Torch -{- | Convert a dataframe to a floating-point tensor of shape @[rows, columns]@-(or @[rows]@ when single-column). Throws 'DataFrameException' if a column-cannot be converted to float.-->>> toTensor df  -- where df has shape (100, 5)-Tensor with shape [100, 5]--}+-- | Convert a dataframe to a floating-point tensor of shape [rows, columns]. toTensor :: DataFrame -> Tensor toTensor df = case D.toFloatMatrix df of     Left e -> throw e@@ -31,13 +25,7 @@          in             reshape dims' (asTensor (flattenFeatures m)) -{- | Convert a dataframe to an integer tensor of shape @[rows, columns]@ (or-@[rows]@ when single-column). Floating-point values are rounded. Throws-'DataFrameException' if a column cannot be converted to int.-->>> toIntTensor featuresDf  -- where featuresDf has shape (100, 3)-Tensor with shape [100, 3]--}+-- | Convert a dataframe to an integer tensor of shape [rows, columns]. toIntTensor :: DataFrame -> Tensor toIntTensor df = case D.toIntMatrix df of     Left e -> throw e