bolts | Bolts parent theme for WordPress - from Themejack | Content Management System library

I have a 3 file. In the datamodule file, I have created data and used the basic format of the PyTorch Lightning. In the linear_model I made a linear regression model based on this page. Finally, I have a train file, I am calling the model and trying to fit the data. But I am getting this error

I want to make a dataset using NumPy and then want to train and test a simple model like 'linear, or logistic`.

I am trying to learn Pytorch Lightning. I have found a tutorial that we can use the NumPy dataset and can use uniform distribution here. As a newcomer, I am not getting the full idea, how can I do that!

My code is given below

Been experimenting with switching a Storm 1.0.6 topology to Heron. Taking a baby step by removing all but the Kafka spout to see how things go. Have a main method as follows (modified from the original Flux version):

I am trying to crawl different websites (e-commerce websites) and extract specific information from the pages of each website (i.e. product price, quantity, date of publication, etc.). My question is: how to configure the parsing since each website has a different HTML layout which means I need different Xpaths for the same item depending on the website? Can we add multiple parser bolts in the topology for each website? If yes, how can we assign different parsefilters.json files to each parser bolt?

I'm attempting to use Stormcrawler to crawl a set of pages on our website, and while it is able to retrieve and index some of the page's text, it's not capturing a large amount of other text on the page.

I've installed Zookeeper, Apache Storm, and Stormcrawler using the Ansible playbooks provided here (thank you a million for those!) on a server running Ubuntu 18.04, along with Elasticsearch and Kibana. For the most part, I'm using the configuration defaults, but have made the following changes:

• For the Elastic index mappings, I've enabled _source: true, and turned on indexing and storing for all properties (content, host, title, url)
• In the crawler-conf.yaml configuration, I've commented out all textextractor.include.pattern and textextractor.exclude.tags settings, to enforce capturing the whole page

After re-creating fresh ES indices, running mvn clean package, and then starting the crawler topology, stormcrawler begins doing its thing and content starts appearing in Elasticsearch. However, for many pages, the content that's retrieved and indexed is only a subset of all the text on the page, and usually excludes the main page text we are interested in.

For example, the text in the following XML path is not returned/indexed:

This is a specific instance of a general problem that I run into when updating packages using conda. I have an environment that is working great on machine A. I want to transfer it to machine B. But, machine A has GTX1080 gpus, and due to configuration I cannot control, requires cudatoolkit 10.2. Machine B has A100 gpus, and due to configuration I cannot control, requires cudatoolkit 11.1

How do I use extended events (SQL Server 2012) to tell me when certain tables are used in stored procedures. I want to drop some tables and so I want to know if the stored procedures the use those tables are actually being run.

I want to know about the size of data, which is transferred among all the bolts and spouts. Does anyone have any idea how it is possible to find the tuple size in Byte?

I'm trying to sort though a list of pipe fittings using PHP with regex, I know how to match more then one word but I can't figure out how to not match words. I need it to not match "bolts" and "nuts"(with or without the s).