Is there a way to change the base model when training a translation custom model in google automl? I was told so, but the drop-down menu in the base model option is blocked and there is a warning that says "All custom translation models are trained based on the Google NMT model".
I want to improve a model that I trained before adding more data and using that previous model as base model.
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I'm trying to use stream with automl model so I've tried to import custom automl model in vertex studio but it shows "0 eligible models in this project ()" (Vertex AI Vision -> Studio -> Import from Vertex AI).vertex studio screenshot
I have models in the vertex AI model registry it shows two models but I couldn't import it via vertex studio.
model registry screenshot
is there any eligibility criteria for importing automl model using vertex studio? please help me on this.
Is there any other way where I can use automl model for streaming data (image or video classification)?
The behavior you are facing is expected.
For now, for AutoML models, only object detection models are supported -- that's why you can't see the others available at the same region (us-central-1).
Also, it worths mentioning that if you are going to train an AutoML object detection model to be used with Vertex Vision, you can select one option at the training screen, as described in the documentation
I am quite new to Django and I'm trying to build a web application where some users will be able to input their available weekly schedule and also show at what times of a day they are available. The picture below(this is just front-end part) shows something similar to what I'm trying to build. What type of Model field do I use to store this type of information inside of a Model class?
I would use a ManyToMany field which links to a Shift table.
class Shift(models.Model):
# Day of week
day = models.CharField()
# Morning, afternoon, evening
time = models.CharField()
class UserProfile(models.Model):
...
availability = models.ManyToManyField(Shift)
The Django docs have a handy guide on using ManyToManyFields.
https://docs.djangoproject.com/en/4.1/topics/db/examples/many_to_many/
Now that I look at it I can try to create many MultiSelect fields for each of the days(Sunday,Monday,Tuesday,...Saturday) and each of them will have 3 choices(Morning, Afternoon, Evening). This way you wouldn't need to prepopulate the database(before using the database) with all different options(Sunday Morning,Monday Evening etc.) However, I might run into the trouble of having redundancy in my table in the long run.
I am facing a problem while making a custom model with Automl. I am supplying Automl with JSONL training data with label DISEASE.
My service account has the permission healthcare.nlpservce.analyzeEntities and also before Start training i am choosing the option to Enable Healthcare Entity Extraction.
But still after 4+ hours of training the model detects only the DISEASE label.
It is not detecting Problems, Procedures, etc
I am following the steps mentioned in the documentation .
Attached photo of the service account's permission(no utilization analysis)
Can anyone please point me in the right direction....
I'm training several models with multiple training datasets in experimenter. Is there a way to save the trained models? I know that in explorer you can right-click and save model and even load it up later. Thanks in advance.
I am using geodjango to create data repository , and have a basic model to store the contents of a shape file . I want to have multiple tables , with attributes generated on the fly . There are tables that deal with user , and one table that deal with each shape file .
What I want to know is , I have a basic model that creates a table per shape file . What I want is also another table that deals with the user . So , should I create another model or another class in the same model ?
Thus , if I want to have multiple tables , should I create multiple models or multiple classes ?
If multiple models , then how do I link it to a view ?
A model is merely a programmatic representation of a database table. There's a one-to-one correlation, i.e. for every model you get a database table.
The concept of models is separate from the concept of views. Views are just methods that respond to HTTP requests. In any view you can import and utilize any model; you simply import the model and do whatever you please with it.
It sounds like you're very new to Django and the whole concept of MVC (Model-View-Controller) architecture, in general. You should spend some time reading the Django Book; it's available free online. Focus in particular on the chapters on Models and Views. The Django Documentation is a little more high level but has a wealth of information.