Posts (page 181)
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6 min readTo run "hadoop jar" as another user, you can use the "sudo -u" command followed by the username of the user you want to run the command as. For example, the syntax would be:sudo -u hadoop jar This will allow you to run the Hadoop job as the specified user. Be sure to replace with the actual username of the user you want to run the job as, and replace , , and with the appropriate values for your Hadoop job.
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3 min readTo create a normal 2D distribution in PyTorch, you can use the torch.distributions.MultivariateNormal class. First, you need to specify the mean and covariance matrix of the distribution. Then, you can create an instance of the MultivariateNormal class with these parameters. You can sample from this distribution by calling the sample() method of the instance.
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9 min readTo use Twitter Search API with Hadoop, you need to first set up a Twitter developer account and obtain the necessary credentials to access the API. Once you have your API keys, you can use a programming language such as Python or Java to interact with the API and retrieve tweets based on specific search criteria.You can then use Hadoop to process the data obtained from the Twitter API.
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7 min readTo convert a mongodb::bson::document to a byte array (Vec<u8>) in Rust, you can use the to_bytes method provided by the mongodb::bson crate. This method serializes the document into a BSON byte array which can then be converted to a Vec<u8>.Here is an example code snippet demonstrating how to convert a mongodb::bson::document to a byte array: use mongodb::bson::doc; fn main() { // Create a MongoDB document let document = doc.
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7 min readIn PyTorch, the model.training attribute is a boolean variable that indicates whether the model is in training mode or evaluation mode. When set to True, it signifies that the model is being trained and should update its weights based on the input data and loss function. When set to False, it indicates that the model is being evaluated and should not update its weights but rather just make predictions based on the input data. This attribute is typically used in combination with the torch.
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6 min readTo download files stored in a server and save them to Hadoop, you can use tools like curl or wget to retrieve the files from the server. Once you have downloaded the files, you can use the Hadoop command line interface or Hadoop File System API to move the files to Hadoop Distributed File System (HDFS).First, download the files from the server using a command like: curl -O http://example.com/file.txt or wget http://example.com/file.
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3 min readTo return a function in Rust, you can use the fn keyword followed by the function's parameters and return type. Here is an example of the correct syntax to return a function in Rust: fn create_adder() -> fn(i32, i32) -> i32 { fn add(a: i32, b: i32) -> i32 { a + b } add } In this example, the create_adder function returns another function add which takes two i32 parameters and returns an i32. This demonstrates how you can return a function as a value in Rust.
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4 min readIn PyTorch, tensors can be deleted from the graph by using the detach() method or by setting the tensor to None. The detach() method removes the tensor from the computation graph but keeps the values intact for future reference. On the other hand, setting a tensor to None completely removes it from memory and cannot be accessed again. It is important to properly manage memory usage and delete unnecessary tensors to avoid memory leaks and optimize performance.
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6 min readTo uninstall Hadoop on Mac completely, you first need to stop all running Hadoop services. Next, you need to remove the Hadoop directory and configuration files from your system. This can be done by deleting the Hadoop installation directory, typically located in the "/usr/local" directory. You should also remove any environment variables or aliases related to Hadoop from your shell configuration files.
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8 min readTo include image files in a Rust library, you can use the include_bytes! macro to embed the image file directly into your compiled binary. This allows you to distribute your library without requiring users to also download the image file separately.First, add the image file to your project directory. Then, in your Rust code, use the include_bytes! macro to include the file like this: const IMAGE_BYTES: &'static [u8] = include_bytes!("path/to/image.
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4 min readYou should put PyTorch tensor on GPU when you want to take advantage of the processing power of the graphics card for faster computation. By using a GPU, you can accelerate the training and inference processes of your neural network models, resulting in quicker results and improved performance. This is particularly important when working with large datasets or complex models that require significant computational resources.
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5 min readTo divide data on a cluster in Hadoop, you can use the Hadoop Distributed File System (HDFS) to store and manage the data. HDFS divides the data into blocks, which are then distributed across the cluster nodes for processing. You can also use Hadoop's MapReduce framework to distribute the processing of the data across multiple nodes in the cluster. This allows for parallel processing of the data, which can significantly speed up the processing time for large datasets.