models | Model Zoo for Intel® Architecture : contains Intel | Machine Learning library
kandi X-RAY | models Summary
kandi X-RAY | models Summary
Model Zoo for Intel Architecture: contains Intel optimizations for running deep learning workloads on Intel Xeon Scalable processors
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Top functions reviewed by kandi - BETA
- Run the main function
- Creates a criteo dataset
- Make criteo data and loaders
- Convert numpy array to binary
- Train 50 mlperf per model
- Print to stdout
- Broadcasts seeds
- Prints an MLPerf log
- Create criteo data and loaders
- Read a single dataset
- Transformer model transformer
- Perform the forward computation
- Embed a quadratic RNN
- Start the Docker container
- Auto generate a spec file
- Evaluate a list of detections
- Train a training schedule
- Parse command line arguments
- Build the model
- Convert examples to features
- Build a model_fn
- Main worker function
- Writes prediction results
- Define common flags
- Main function for resnet
- Runs large batch validation cases
models Key Features
models Examples and Code Snippets
Lines of Code : 23
License : No License
Copyimport xgboost
import shap
# train an XGBoost model
X, y = shap.datasets.boston()
model = xgboost.XGBRegressor().fit(X, y)
# explain the model's predictions using SHAP
# (same syntax works for LightGBM, CatBoost, scikit-learn, transformers, Spark, # ...include code from https://github.com/keras-team/keras/blob/master/examples/mnist_cnn.py
import shap
import numpy as np
# select a set of background examples to take an expectation over
background = x_train[np.random.choice(x_train.shape[0], 10 public static List getModelsAfter2000(List cars) {
List carsSortedByYear = new ArrayList<>();
for (Car car : cars) {
if (car.getYear() > 2000) {
carsSortedByYear.add(car);
}
}
Collections.sort(carsSorted def _reconstruct_all_models(self):
"""Reconstructs the network structure of all models."""
all_initialized_models = set()
while self._models_to_reconstruct:
model_id = self._models_to_reconstruct.pop(0)
all_initialized_models. @Override
public boolean equals(Object o) {
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
Dealer dealer = (Dealer) o;
if (dea Community Discussions
Trending Discussions on models
QUESTION
I'm trying to create an app that meets two random users in Django. my question is how to create an object Meeting out of 2 random users from my User model, I want something like a for loop so that every 2 users in my database have a meeting!
ps: I have only one day left to submit my work I will be so thankful if u help me
this is my code so far:
...ANSWER
Answered 2021-Jun-15 at 21:48I can't decipher what you're doing there, but:
QUESTION
I am trying to get the best combination to reach the best R Squared and P value. In this case, I have 6 columns to run the code, but I have the R-Squared and P values just for this combo ([col0, col1, col2, col3, col4, col5] vs [col6]). I want to test all the possible combinations, something like:
[col0] vs [col6]
[col0 + col1] vs [col6]
[col0 + col1 + col2] vs [col6]...
Is there any way to automatize this? So I dont have to run all possible combinations on hand.
...ANSWER
Answered 2021-Jun-15 at 20:33What you're looking to implement is the powerset function shown in the iterools documentation:
QUESTION
So I created a poll model in my Django app. I'm going thorugh the polling app tutorial posted on the Django website, however, I'm using a remote MySQL database rather than a SQLite database.
...ANSWER
Answered 2021-Jun-15 at 20:06I'm thinking the suspect is an unsuccessful migration. Let's undo it and try again
QUESTION
A typical way to use group_by and then nest is to estimate a series of models--
ANSWER
Answered 2021-Jun-15 at 19:23We can add ungroup in between as the nest_by returns with rowwise attribute which clashes with the map
QUESTION
Im trying to reproduce pretty simple snippet from https://laravel.com/docs/8.x/eloquent#streaming-results-lazily
...ANSWER
Answered 2021-Jun-15 at 18:29I think lazy() method added in laravel version v8.34.0.Even if you are using Laravel 8 then make sure it should be at least version v8.34.0
As per Laravel Framework release note.
QUESTION
What I want to make, is to create a record of this class:
...ANSWER
Answered 2021-Jun-15 at 17:47 if form.is_valid():
my_form = form.save(commit=False)
my_form.user = request.user
my_form.save()
QUESTION
I an newbee to Django and I realise that it is a very silly question but, when I put objects in a HTML code to call index from data base I recieve just text of what I am calling: List of news(item.title)(item.title)(item.title)(item.title)
views.py:
...ANSWER
Answered 2021-Jun-15 at 16:44from django.shortcuts import render
from django.http import HttpResponse
from .models import News
def index(request):
news = News.objects.all()
res = 'List of news'
for item in news:
res += f'{item.title}
'
return HttpResponse(res)
QUESTION
I am storing the information about trained models in a DataFrame:
...ANSWER
Answered 2021-Jun-15 at 14:02sort_values with ascending one side descending other side:
QUESTION
I have a basic model:
...ANSWER
Answered 2021-Jun-15 at 16:27You can use a CASE / WHEN construction.
https://docs.djangoproject.com/en/3.2/ref/models/conditional-expressions/
QUESTION
I have two tables:
- Car_company which has the attributes of: C_id (primary key), C_name
- Car_model which has the attributes of: Com_id (referenced to C_id of Car_company), Model_year Warranty
I wish to access both of these tables individually and also I would like to perform a join operation on them and display all of the car_models along with their car_company name. I tried using both JPQL and native query but nothing worked. I also made sure to use the OneToMany and ManyToOne associations but I ended up getting infinite nesting,i.e, the models have car_company as field, this inturn has car_models as a list, and this keeps going. Please help me with entity classes and DAOs.
...ANSWER
Answered 2021-Jun-15 at 16:12You can get a List of CarModel for each car company in the CarCompany entity through the oneToMany annotation like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install models
The documentation here has instructions on how to get to the Model Zoo's conda environments and code directory within AI Kit.
There is a table of TensorFlow models with links to instructions on how to run the models here.
To get started you can refer to the ResNet50 FP32 Inference code sample.
If you know what model you are interested in, or if you want to see a full list of models in the Model Zoo, start here.
For framework best practice guides, and step-by-step tutorials for some models in the Model Zoo, start here.
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