pipeline

问题 kedro recommends storing parameters in conf/base/parameters.yml . Let's assume it looks like this: step_size: 1 model_params: learning_rate: 0.01 test_data_ratio: 0.2 num_train_steps: 10000 And now imagine I have some data_engineering pipeline whose nodes.py has a function that looks something like this: def some_pipeline_step(num_train_steps): """ Takes the parameter `num_train_steps` as argument. """ pass How would I go about and pass that nested parameters straight to this function in data

问题 I am training a Recurrent Neural Network in Tensorflow over a dataset of sequence of numbers of varying lengths and have been trying to use the tf.data API to create an efficient pipeline. However I can't seem to get this thing to work My approach My data set is a NumPy array of shape [10000, ?, 32, 2] which is saved on my disk as a file in the .npy format. Here the ? denotes that elements have variable length in the second dimension. 10000 denotes the number of minibatches in the dataset and

问题 We're starting to use Azure DevOps to build and deploy my application. Currently, we do not upload the application images to our repo. I Would like to know if I could download all the images to the artifact that is going to be generated during the build pipeline. My yml pipeline : trigger: - develop pool: vmImage: 'windows-latest' variables: solution: '**/*.sln' buildPlatform: 'Any CPU' buildConfiguration: 'Release' steps: - task: NuGetToolInstaller@0 task: NuGetCommand@2 inputs:

问题 So I'm creating a data flow with Apache Airflow for grabbing some data that's stored in a Pandas Dataframe and then storing it into MongoDB. So I have two python methods, one for fetching the data and returning the dataframe and the other for storing it into the relevant database. How do I take the output of one task and feed it as the input to another task? This is what I have so far (summarized and condensed version) I looked into the concept of xcom pull and push and that's what I

问题 I am using the following code (source) to concatenate multiple feature extraction methods. from sklearn.pipeline import Pipeline, FeatureUnion from sklearn.model_selection import GridSearchCV from sklearn.svm import SVC from sklearn.datasets import load_iris from sklearn.decomposition import PCA from sklearn.feature_selection import SelectKBest iris = load_iris() X, y = iris.data, iris.target pca = PCA(n_components=2) selection = SelectKBest(k=1) # Build estimator from PCA and Univariate

问题 The PowerShell Strongly Encouraged Development Guidelines that cmdlets should Implement for the Middle of a Pipeline but I suspect that isn't doable for a parameter as -Last for the Select-Object. Simply because you can't determine the last entry upfront. In other words: you will need to wait for the input stream to finish until you define the last entry. To prove this, I wrote a little script: $Data = 1..5 | ForEach-Object {[pscustomobject]@{Index = "$_"}} $Data | ForEach-Object { Write-Host

问题 I've been banging my head against this for a while but I cannot figure out if it is possible to create a DepthMask shader for HDRP (as descibed here). For my exact use, I'm trying to create a "hole" in the shape of whatever I have the material applied to, that shows the contents of a different camera rendered behind everything. I tried messing around with the render queue within the shader, different ZTest and ZWrite combinations, as well as some variations of the shader I found. On top of

问题 i'm trying to add a drop down design-property into a pipeline component. I found this article http://social.msdn.microsoft.com/Forums/en-US/dd732ffc-0372-4710-a849-370bbdb65419/custom-pipeline-component-with-an-enum-property-to-display-a-custom-drop-down-list?forum=biztalkgeneral and i followed all steps. The result is that i can see drop down into pipeline properties in visual studio but when i associate it to receive port i can only see text box and not dropdown property. 回答1: Unfortunately

问题 On MIPS architecture with pipelining and forwarding: add $s0, $t1, $t2 sw $s0, 0($sp) The add instruction will have the result ready at step 3 (execute operation) however I presume that the sw instruction want the result at step 2 (Instruction decode & register read). There is a solved exercise in the book Computer Organization and Design by David A. Patterson: Find the hazards in the following code segment and reorder the instructions to avoid any pipeline stalls : lw $t1, 0($t0) lw $t2, 4(

问题 On MIPS architecture with pipelining and forwarding: add $s0, $t1, $t2 sw $s0, 0($sp) The add instruction will have the result ready at step 3 (execute operation) however I presume that the sw instruction want the result at step 2 (Instruction decode & register read). There is a solved exercise in the book Computer Organization and Design by David A. Patterson: Find the hazards in the following code segment and reorder the instructions to avoid any pipeline stalls : lw $t1, 0($t0) lw $t2, 4(