Hướng dẫn dùng tf.random.categorical python
Draws samples from a categorical distribution. View aliasesCompat aliases for migration See Migration guide for more details.
Used in the notebooks
Example:
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license. Last updated 2022-09-08 UTC. [{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }] [{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }] I am making a model that involves random numbers generations ( The The issue is that the result of those In this code below, I made a simple model that reproduces this issue.
Output:
Does anyone know why this is happening? Does anyone know what I could do so that I don't have this Thanks in advance for your help, Keivan |