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The description of fit_multinom_dag() says that given the structure of a Bayesian network it estimates the parameters using multinomial logistic regression. Is this the function used to find inference…
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hi, in your example for neural-network.py, the function neural_net, layer_1 = tf.layers.dense(x, n_hidden_1) is without activation, in my opinion, this example is equal with a multinomial logistic reg…
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I use the logistic regression classifier(LogisticRegression(multi_class="multinomial", solver="newton-cg", max_iter=1000)) for classification, which cannot achieve the effect of the paper. Would you l…
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We currently have an example of a loss function for regression models. Specifically, we implement the root mean squared error.
However, we don't currently have an example of a loss function for cla…
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(mainly to get started with an issue and to park two links)
https://stats.stackexchange.com/questions/252317/similarities-and-differences-between-irt-model-and-logistic-regression-model
https://st…
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Is this package able to fit [Multinomial Logistic Regression](https://en.wikipedia.org/wiki/Multinomial_logistic_regression) models or any other type of model with categorical/multiple discrete outcom…
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Maybe I have missed it in the library, but is there a way to use frequency weights for multinomial logistic regression? If not, I would like to request it.
**edit** question is for fractional or c…
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1. [line 284 of the GlobalParameterGenerator.R file](https://github.com/imperialCHEPI/healthgps-R/blob/main/ali_2_HealthGPS_GlobalParamGenerator.R#L284-L285) where I am running a multinomial logistic…
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**Fundamentals**
1. Introduction to ML
- What is ML
- Types of ML systems
- ML in R
2. Before the modeling process
- Problem framing
- Planning & scoping
- Experimentation
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Leaving this here for someone to do in the future if they want/can -- we should probably have a tutorial for ordered logistic regressions. They're probably the most criminally underused statistical mo…