automl

问题 I trained a model using AutoML Natural Language on Googles Cloud Platform. Now i need to call the AI via JavaScript to do a sentiment analysis, using my own model. My goal is to embed the whole thing into a website. There i'll have a input form to analyze text. That's all for now actually. I wasn't able to find anything relating that use case when i did my research. Google provides a REST API but there is literally no tutorial on how to handle it. Sorry, I know this might not meet the

来源： https://stackoverflow.com/questions/60326319/coreml-not-returning-proper-identifier-tags-using-automl-vision

问题 I updated Neuraxle to the latest version (3.4). I noticed the whole auto_ml.py was redone. I checked the documentation but there is nothing about it. On git it seems method RandomSearch() was replaced a long time ago by AutoML() method. However the parameters are different. Does somebody knows how can I channel Boston Housing example pipeline to automatic parameter search in latest Neuraxle version (3.4)? import numpy as np from sklearn.cluster import KMeans from sklearn.datasets import load

问题 I am using automl from google using a custom dataset. The dataset consists of images collected by me. However, manually labelling the image take some time, so I would like to enlarge the dataset by image augmentation, such as rotation and blurring. Does automl perform augmentation behind the screen automatically? 回答1: AutoML does few types of data augmentation. This is implementation detail and may change in the future without notice, basic augmentations that are used are: random resizes /

问题 Running h2o.automl() returns a single model in leaderboard; however, when trying to access the actual model via @leader@model , the following error ensues: Error in is.H2OFrame(x) : trying to get slot "metrics" from an object of a basic class ("NULL") with no slots As well, when calling h2o.predict() on the leader model, got the error message: Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = page, : ERROR MESSAGE: Object 'dummy' not found in function: predict for

问题 Running h2o.automl() returns a single model in leaderboard; however, when trying to access the actual model via @leader@model , the following error ensues: Error in is.H2OFrame(x) : trying to get slot "metrics" from an object of a basic class ("NULL") with no slots As well, when calling h2o.predict() on the leader model, got the error message: Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = page, : ERROR MESSAGE: Object 'dummy' not found in function: predict for

问题 I am having issues with implementing a custom AutoML model in a .NET web app that allows sending images via the REST API to be recognized. I keep getting errors. The remote server returned an error: (403) Forbidden. I have an image and converted it into a string of bytes called imageBytesString and have created the jsonRequest object like this: string jsonRequest = "{\"payload\":{\"image\":{\"imageBytes\":\"" + imageBytesString + "\"},}}";` Then I'm doing a POST request like follows:

问题 I loaded a dataset into google automl, using the UI. I got the message that I have enough labeled text and can start training, however when I click on Start Training, I get the error Exception while handling your request: Request contains an invalid argument. When reporting refer to this issue by its tracking code tc_698293 As I am using the UI, I don't know what the arguments of the request are. Any help is greatly appreciated. Thanks. 回答1: It is required to have at least 2 examples in all