Comments (3)
To implement it, I was thinking either we need to use any 3rd party cpp library because we need to store multiple data types in single data structure.
or else I'm thinking of one alternative of it that we can store data type of every column of csv file and when we need to apply any function over that data, we consider data type and on runtime convert it and use it accordingly!
from slowmokit.
To implement it, I was thinking either we need to use any 3rd party cpp library because we need to store multiple data types in single data structure.
or else I'm thinking of one alternative of it that we can store data type of every column of csv file and when we need to apply any function over that data, we consider data type and on runtime convert it and use it accordingly!
Second option seems good but again first complete the issues already assigned to you. Only then move on to others.
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I'm interested sir, kindly assign it to me!
from slowmokit.
Related Issues (20)
- Cleanup metrics directory HOT 2
- N-matrix declaration
- N-Matrix Multiplication
- Folder structure revamp
- Added AUC-ROC method HOT 2
- Install scripts (cross platform)
- Rebranding
- Installation wizard setup
- nim CLI
- Feature : Implement Random Forest as a classifier
- Feature : Implement Random Forest for regression
- Implement addition and subtraction of matrix with a scalar HOT 1
- Feature : Implement a basic neural network architecture HOT 2
- Metrics: Implement F1-score for multi-class classification HOT 2
- Make a cpp lint tool to check the cases and spaces
- Implement matmul, subtract, add function. HOT 2
- Fix CMake to make all the examples running
- Automate the addition of hpp files to avoid conflicts
- Feature : Implement Various Activation Functions HOT 4
- Feature: Implement various distance metrics HOT 1
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