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Flow df docs #185

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Flow df docs #185

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e62b625
Fix list to rendered correctly in markdown
rragundez Mar 14, 2019
0294bee
Add option multi_output explanation for dataframe parameter
rragundez Mar 14, 2019
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18 changes: 9 additions & 9 deletions keras_preprocessing/image/dataframe_iterator.py
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Expand Up @@ -22,15 +22,15 @@ class DataFrameIterator(BatchFromFilesMixin, Iterator):
`directory` (or absolute paths if `directory` is None) of the
images in a string column. It should include other column/s
depending on the `class_mode`:
- if `class_mode` is `"categorical"` (default value) it must
include the `y_col` column with the class/es of each image.
Values in column can be string/list/tuple if a single class
or list/tuple if multiple classes.
- if `class_mode` is `"binary"` or `"sparse"` it must include
the given `y_col` column with class values as strings.
- if `class_mode` is `"other"` it should contain the columns
specified in `y_col`.
- if `class_mode` is `"input"` or `None` no extra column is needed.
- if `class_mode` is `"categorical"` (default value) it must
include the `y_col` column with the class/es of each image.
Values in column can be string/list/tuple if a single class
or list/tuple if multiple classes.
- if `class_mode` is `"binary"` or `"sparse"` it must include
the given `y_col` column with class values as strings.
- if `class_mode` is `"raw"` or `"multi_output"` it should contain
the columns specified in `y_col`.
- if `class_mode` is `"input"` or `None` no extra column is needed.
directory: string, path to the directory to read images from. If `None`,
data in `x_col` column should be absolute paths.
image_data_generator: Instance of `ImageDataGenerator` to use for
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19 changes: 9 additions & 10 deletions keras_preprocessing/image/image_data_generator.py
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Expand Up @@ -569,16 +569,15 @@ def flow_from_dataframe(self,
`directory` (or absolute paths if `directory` is None) of the
images in a string column. It should include other column/s
depending on the `class_mode`:
- if `class_mode` is `"categorical"` (default value) it must
include the `y_col` column with the class/es of each image.
Values in column can be string/list/tuple if a single class
or list/tuple if multiple classes.
- if `class_mode` is `"binary"` or `"sparse"` it must include
the given `y_col` column with class values as strings.
- if `class_mode` is `"other"` it should contain the columns
specified in `y_col`.
- if `class_mode` is `"input"` or `None` no extra column is
needed.
- if `class_mode` is `"categorical"` (default value) it must
include the `y_col` column with the class/es of each image.
Values in column can be string/list/tuple if a single class
or list/tuple if multiple classes.
- if `class_mode` is `"binary"` or `"sparse"` it must include
the given `y_col` column with class values as strings.
- if `class_mode` is `"raw"` or `"multi_output"` it should contain
the columns specified in `y_col`.
- if `class_mode` is `"input"` or `None` no extra column is needed.
directory: string, path to the directory to read images from. If `None`,
data in `x_col` column should be absolute paths.
x_col: string, column in `dataframe` that contains the filenames (or
Expand Down