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Questions tagged [google-cloud-automl-nl]

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How can I speed up training a text classification model?

I recently trained a Text Classification (Single-label) Model using Google Cloud AutoML, and it took 4 hr 48 min to run. How can I speed up this process? Are there certain parameters that I can change so that the training runs faster? There were…
C Ochoa
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Set a language for Google AutoML

I have to train a model for classification in russian language using AutoML. Russian is supported language as Google says but there is no information how to change english to russian. Or should it happen automatically? Thank you!
Анна Макарова
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Performing prediction on pdf in GCP Bucket using Node js: invalid argument

On Google Cloud Platform (GCP) I have an AutoML Natural Language entity extraction model trained on PDFs. It thus needs to perform predictions on PDFs. I have a PDF I want to perform an entity extraction prediction inside a GCP Bucket, thus I want…
The Coding Wombat
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Using a continuous variable as a label in AutoML Vision

I would like to know if anyone has had success labeling images with a continuous variables in the AutoML Vision platform. Specifically, I would like to predict the height of a sand castle from a birds eye view photograph. I would train the model on…
Bentley Taggert
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AutoML Language Entity Extraction score_threshold not accepted as a parameter

Environment details OS type and version: Windows 10, WSL 2, Ubuntu 16.04 Python version: 3.7.5 pip version: 19.3.1 google-cloud-automl version: 2.2.0 Steps to reproduce Call AutoML Language Entity Extraction with score_threshold as params Code…
Shadowninjazx
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Python script for creating JSONL training files for AutoML Natural Language

i am trying to create the JSONL training files for AutoML Natural Language and it say in the docs To help you create JSONL training files, AutoML Natural Language offers a Python script that converts plain text files into appropriately formatted…
Abdallah Medlemine
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Entity recognition gcp custom model

I trained a custom model for named entity recognition using Automl service on GCP. Here is my code to run it using python: from google.cloud import automl # TODO(developer): Uncomment and set the following variables # project_id =…
LearnToGrow
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Internal error - Fitting AutoML model NL in GCP

Good day! I'd got an internal error during learning for AutoML in NL in GCP one-label text classification When I'd relaunched it I'd got this error again. I have a lot of labels, but each of then has more than 10 samples. What's the problem is? How…
irumata
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What is the required data format for Google AutoML ".txt to .jsonl" script?

I'm trying to create dataset for entity recognition task in Google AutoML with their script to convert my .txt files in .jsonl and save it in Google Cloud Storage as explained in this tutorial. Data looks like (from their example - NCBI Disease…
wqef
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Unable to feed JSONL data to AutoML NLP - Entity Extraction

So, I'm trying to implement Entity Extraction for AutoML and I'm a complete beginner. My CSV file upload is successful but my JSONL isn't being parsed correctly. Where am I going wrong? The starting line of the file contains all the training data. I…
Arjun Ram
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Is it possible to continuously train AutoML Natural language model on google cloud to improve performance automatically?

I am using an AutoML Natural Language model to classify articles into different categories on Google cloud. Is there a way to continuously train this model with new data so that it can improve itself? Or do I have to train a new model after some…
Shubham Sharma
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AnalyzeSyntax Returns Inaccurate Results for Context

AnalyzeSyntax for "Mary likes to color pictures." returns (as expected) "color" is a verb. But when I do the same test with "Mary colors pictures." The response classifies "colors" is a noun. Unless I am mistaken, in the context of the sentence,…
CodeBlooded
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Can I compute AUC value and ROC curve from AutoML Vision by Google Cloud

May I know how can I compute AUC value and ROC curve from an AutoML Vision trained model? Google does only provide the average precision and Precision-Recall curve for evaluation (including a confusion matrix). May I know are there methods in…
warauuu
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Deploying Google AutoML Text Classification trained model on 500 rows of data

I have a trained google AutoML text classification model which i want to deploy on 500rows of data stored in a csv file.The csv file is stored in a google storage bucket and the model to predict each row as "true or false",depending on the what the…
user3884968
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Is there a way to increase the number of labels to be trained in AutoML natural language processing?

Currently in the multilabel classification, the maximum amount of labels that can be trained has been set to 100. Is there any way to increase the number of labels that can be trained?
xJokerx
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