Download v1.5 from here. Features: 1. Added View Global Datasets checkbox on Dataset list page. 2. Added new epochs and learning rate parameter for training model. Bug fixes: 1. The app was not running after key upload for new einstein platform users. 2. Dataset upload failing in v1 for image type. Updated document for this release:… Continue reading AI Buddy – Release v1.5
Download v1.3 from here. Features: 1. Major bug fixes: App was not running after API key upload. Now it has been fixed. Note: After upgrading to this package. You may need to upload API Key again. Make sure you should delete old API key file from Files. Updated document for this release: 1. Einstein Key… Continue reading AI Buddy – Release v1.3
Training a process where we create a model using our datasets. Every prediction query goes to Model, not to the dataset. Let's assume we have 100 records. We are giving 70% of data to our machine as the Training data and rest of the 30% data as the test data. Got confused what is train… Continue reading What is Training in Machine Learning?
1. Login in the org, where you want to install the App. 2. Go to Download Page and click on the latest released link. 3. Now you will see this page. Here select for All User and click on Install button. 4. You will see here a popup asking for Approve Third-Party Access. Check the… Continue reading AI Buddy Installation
The Einstein API allows you to go into the power of AI and train deep learning models to recognize and classify images and sentiments of text. You can use pre-trained classifiers or train your own custom classifiers according to our requirement. For example, A government office asks users to upload the document like passport, unique… Continue reading Salesforce Einstein Introduction
On this page, you can test your model. Copy model ID from your model and paste it in Model ID on this page. Your model should be successfully trained. Otherwise, you will not see prediction. Custom Models: Vision: You must give Model ID of the image model. You can do a prediction for URL image, Base… Continue reading Testing – Test the Einstein Model
Open Model List of Dataset. Click on Model name and it will open status and detail information for the selected model. You can retrain the model using ReTrain button. This button will be enabled if current model created Successfully or Failed. Refresh button uses to refresh the page and information.
Go to Dataset Detail page. Here click on View Models button. It will show all Models of the selected Dataset. You can create Model using Create Model button on this page.
Go to Dataset Detail page. Here click on Create Model button. It will open a new page asking for Model Name. Fill the following: 1. Model Name: Name of the model. Maximum length is 180 characters. 2. Epochs: Optional. The number of training iterations for the neural network. Valid values are 1–100 (For V2 it is… Continue reading Training – Create Model
This page shows the detail of a Dataset. It also shows all the Labels of selected Dataset. You can see all Model related to Dataset by clicking on the View Models Button and also can create new model clicking by Create Model button. You can see Create Model button if your Dataset has been uploaded… Continue reading Data Set – Detail Page