Code and datasets for the Tsetlin Machine. Contribute to cair/TsetlinMachine development by creating an account on GitHub.
The base-64 encoded string is decoded to a binary array that is saved as a file on the Virtual Machine. The maximum length of the binary array is 65535 bytes. For using cloud-init for your VM, see Using cloud-init to customize a Linux VM during creation linuxConfiguration Linux...
Independent of the backend you use, the draw function also accepts a file descriptor or a binary stream as the first argument. If you set this parameter to None, the byte stream will be returned:import io with open('a_graph.png', 'bw') as f: # you need to pass the format when ...
Fraud detection Detect fraudulent credit card transactions using a binary classification algorithm. Sales spike detection Detect spikes and changes in product sales using an anomaly detection model. Image classification Classify images (for example, broccoli vs. pizza) using a TensorFlow deep learning mode...
Binary classification.This divides data into two categories. Multiclass classification.This chooses among more than two categories. Ensemble modeling.This combines the predictions of multiple ML models to produce a more accurate prediction. Regression modeling.Thispredicts continuous valuesbased on relationshi...
ROCAnalysis - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers. GaussianMixtures - Large scale Gaussian Mixture Models. ScikitLearn - Julia implementation of the scikit-learn API. Knet - Koç University Deep Learning Framework. Flux - Relax! Flux is the ...
Logistic regression: Best used for binary outcomes, logistic regression is like linear regression but with special considerations at the boundaries of possible data ranges. An example of logistic regression includes pass/fail analysis on the likelihood of converting a potential customer into a paying on...
Explainability is not a binary property. In other words, not all explanations address the ante-hoc global explainability of the entire model. Post-doc/local explanations are also acceptable. Full size image The same concepts (transparent, explainable, explain) are sometimes defined differently in the...
Increasing evidence suggests that climate change impacts are already observed around the world. Global environmental assessments face challenges to appraise the growing literature. Here we use the language model BERT to identify and classify studies on o
The multiclass classification of newspaper articles with machine learning: The hybrid binary snowball approach Politic Anal, 29 (2) (2021), pp. 236-249, 10.1017/pan.2020.27 Google Scholar [30] Centre for Social Sciences. poltextLAB website. 2021. Accessed: 2021-04-20 https://poltextlab.tk....