pdfcoffee

soumyasankar99
from soumyasankar99 More from this publisher
09.05.2023 Views

Chapter 14Figure 43: AutoML Vision – evaluating the results: confusion matrixNote that again, the AutoML generated model is comparable or even better thanthe models manually crafted at the end of 2019. Indeed, the best model (https://www.kaggle.com/aakashnain/beating-everything-with-depthwiseconvolution)available at the end of 2019 reached a recall of 0.98 and a precisionof 0.79 (see Figure 44):Figure 44: Chest X-Ray Images – manually crafted models on Kaggle[ 523 ]

An introduction to AutoMLUsing Cloud AutoML ‒ Text ClassificationsolutionIn this section we are going to build a classifier using AutoML. Let's activate thetext classification solution via https://console.cloud.google.com/naturallanguage/(see Figure 45 and 46):Figure 45: AutoML Text Classification – accessing the natural language interfaceFigure 46: AutoML Text Classification – launching the applicationWe are going to use a dataset already available online (https://cloud.google.com/natural-language/automl/docs/sample/happiness.csv), load it into adataset named "happiness," and perform a single-label classification (see Figure 47).The file is uploaded from my computer (see Figure 48):[ 524 ]

An introduction to AutoML

Using Cloud AutoML ‒ Text Classification

solution

In this section we are going to build a classifier using AutoML. Let's activate the

text classification solution via https://console.cloud.google.com/naturallanguage/

(see Figure 45 and 46):

Figure 45: AutoML Text Classification – accessing the natural language interface

Figure 46: AutoML Text Classification – launching the application

We are going to use a dataset already available online (https://cloud.google.

com/natural-language/automl/docs/sample/happiness.csv), load it into a

dataset named "happiness," and perform a single-label classification (see Figure 47).

The file is uploaded from my computer (see Figure 48):

[ 524 ]

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!