labels | Lightweight CSS labels | Data Labeling library
kandi X-RAY | labels Summary
kandi X-RAY | labels Summary
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of labels
labels Key Features
labels Examples and Code Snippets
def mean_pairwise_squared_error(
labels, predictions, weights=1.0, scope=None,
loss_collection=ops.GraphKeys.LOSSES):
"""Adds a pairwise-errors-squared loss to the training procedure.
Unlike `mean_squared_error`, which is a measure of th
def collapse_repeated(labels, seq_length, name=None):
"""Merge repeated labels into single labels.
Args:
labels: Tensor of shape [batch, max value in seq_length]
seq_length: Tensor of shape [batch], sequence length of each batch element.
def _maybe_expand_labels(labels, predictions):
"""If necessary, expand `labels` along last dimension to match `predictions`.
Args:
labels: `Tensor` or `SparseTensor` with shape
[D1, ... DN, num_labels] or [D1, ... DN]. The latter impli
Community Discussions
Trending Discussions on Data Labeling
QUESTION
I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.
What I've done so far is make this representation with the same enumerator class.
A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?
...ANSWER
Answered 2021-Dec-30 at 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.
In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space
i have this:
...ANSWER
Answered 2020-Nov-16 at 07:24Try something like:
QUESTION
Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.
Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.
Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.
...ANSWER
Answered 2020-Oct-27 at 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install labels
In bash/terminal/command line, cd into your project directory.
Run npm install to install required files.
When it's done installing, run one of the task runners to get going: gulp manually compiles files. gulp watch automatically compiles files when changes are made and applies changes using LiveReload.
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