View source on GitHub
|
Writes the given graph to the file filename in TSV format.
nsl.tools.write_tsv_graph(
filename, graph
)
Returns | |
|---|---|
None. Instead, this has the side-effect or writing output to a file.
|
nsl.tools.write_tsv_graph
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Last updated 2022-10-28 UTC.
[null,null,["Last updated 2022-10-28 UTC."],[],[],null,["# nsl.tools.write_tsv_graph\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/neural-structured-learning/blob/v1.4.0/neural_structured_learning/tools/graph_utils.py#L136-L154) |\n\nWrites the given `graph` to the file `filename` in TSV format.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`nsl.tools.graph_utils.write_tsv_graph`](https://www.tensorflow.org/neural_structured_learning/api_docs/python/nsl/tools/write_tsv_graph)\n\n\u003cbr /\u003e\n\n nsl.tools.write_tsv_graph(\n filename, graph\n )\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|------------|------------------------------------------------------------------------------------------------------------------------------------------|\n| `filename` | Name of the file to which TSV output is written. The TSV lines are written in the same form as the input expected by `read_tsv_graph()`. |\n| `graph` | A `dict` source_id -\\\u003e (target_id -\\\u003e weight) representing the graph. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| `None`. Instead, this has the side-effect or writing output to a file. ||\n\n\u003cbr /\u003e"]]