课程: Apache Spark Deep Learning Essential Training

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Testing your new model

Testing your new model - Spark DataFrames教程

课程: Apache Spark Deep Learning Essential Training

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Testing your new model

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- [Instructor] Now in order to test how good our newly-trained model f_model is, I'm going to use an image of a tulip and a sunflower. So let's upload these images to Databricks. So I select Data, I select Add Data, I select Browse, I select the flower image, which is in my Exercise files in the Images folder. I click on the Databricks icon again, I select Data, I select Add Data, I select Browse, I select the tulip file and this time I make a note of where this file was stored. So I copy that. I select the Databricks icon again, and then I go back to my Notebook by just clicking Back. And let's store the path to the tulip file in the variable t. So t equals tulip.jpg and in the same way, s for sunflower and the name of my image is sunflower.jpg. Now what I need to do is to take these image files and convert them into DataFrames. So from pyspark.ml.image import ImageSchema. And this method should already be exported based on what we've done in the previous section of the file. So…

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