# If not specified, a program to execute the script must be specified. # In this case, the script is executed by shell itself. It identifies the executor used to run this file. The comments in the code explain what the commands do: #!/bin/sh Use your favorite text editor to create a file named download.sh and paste in the code below. ![]() csv format and gzipped.ĭownload and unzip the data using a shell script. The data source is at, and the data is in. You will train your model using the last 10 complete years of data. The data for this tutorial comes from the US National Oceanic and Atmospheric Administration (NOAA). Now that your shell is set up, you can start preparing data for the machine learning temperature-prediction problem. If you need help with a specific command, type -help in the shell for help for example: ls -help.The Bash Guide for Beginners by the Linux Documentation Project.The official shell scripting tutorial by Steve Parker, the creator of Bourne shell.If you use Linux or macOS, it will already be installed, and you may already be familiar with it. Prerequisitesįirst, you need to have a shell interpreter installed. If data processing is performed with an easy, friendly, rich technology like a shell, a data scientist focuses only on machine learning modeling and not the details of a language. You may be asking why you should do this with shell, when you can do all of it in a machine learning programming language such as Python. An introduction to programming with Bash.Resume or unpause the Time Slicing job to allow it to regenerate the data. If this doesn't meet your specific needs, use the recommended method, stated above, because it more closely reflects reality.Ģ. This method of using the "Allocate from Estimates" button for resource with zero ETC is provided as a quick and easy method to zero out allocation. The easiest way, although less accurate way to release unused resource allocation, is to ensure ETC is zero and then click "Allocate From Estimates" button on the Roster/Team page. Zeroing out any unnecessary Remaining Allocation will reduce the amount of data stored in timeslice, and make your data more realistic. This date should be set as the allocation finish date if the resource is no longer working on the project. ![]() "Remaining Allocation" takes into account the last date the actuals were tracked by the resource. To zero out the resources "Remaining Allocation", we recommend that you set the allocation finish date to the last date the resource worked on the project. We also recommend that you zero out "Remaining Allocation", as seen on the Project Roster/Team page, for inactive/closed projects. If allocations are set properly on active projects only valid data will be stored in timeslice therefore dramatically reducing the amount of records needed to maintain allocations. We recommend that you enforce setting project allocations company wide and be sure to properly zero out any remaining/unused allocations. If you are truly using this allocation data it should also be in the same range as Baseline and Availability Time Slice definitions. This will minimize the amount of data that is being stored for Allocation slices and also populate in the Datamart tables. We recommend that if you do not set project level allocation you should set the Number of Periods to four (4) for Allocation slice request. This is by far the largest portion of slice data, and if it is not entirely valid it can be dramatically reduced. If you are not maintaining allocation at the Project level company wide, you may have no need to maintain slice data for allocation. ![]() Note: When a Resource has a Hire Date and/or Termination Date, the Availability slices are bound for the resource within this date range. Number of periods = 740 days Availability (2-year range) Number of periods = 740 days Baseline (2-year range) Number of periods = 400 days Actuals (2-year range)įrom Date = Start of the current month, going back 1 year Estimates (1 year range)įrom Date = Start of the current month (There is no need to slice estimates far in the past) Make sure there are not any daily slice definitions that cover a range of over 2 years, especially the team slices. Note: If you need past historical data to be sliced for dates further back than what is recommended above, it is recommended to consult our CA Services team for advice on alternative configurations OR use monthly time slices. The idea is to limit the number of DAILY slice records.This will create fewer records for reporting historical data within the recommended configurations. Configure the following DAILY time slice IDs: Make sure the environment performs optimally by ensuring the time slice definitions are set as follows: 1. Based on the amount of data and the reporting needs of each implementation, the time slices need to be configured properly.
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