ModelFit | offline fitting portion of my paper
kandi X-RAY | ModelFit Summary
kandi X-RAY | ModelFit Summary
The offline fitting tool described in my paper "Real-Time Continuous Pose Recovery of Human Hands Using Convolutional Networks" (Jonathan Tompson, Murphy Stein, Yann Lecun, Ken Perlin). This code was used to fit the frames in the NYU Hand Pose Dataset. Note that I used a Primesense Carmine 1.09 to capture the depth cloud and RGB, however this code shouldn't be limited to this device (as long as you adjust the relevant camera parameters). A word of warning: this code is provided as-is. While the quality of the code is not inherently bad, it's just not well organized or user-friendly. Note that I have made available example data. I highly suggest you download it and extract it into the ModelFit/data/ directory as it is all set up and ready to go. Lastly, I want to say that the UI is not all that intuitive or easy to use, and for this I apologize. It is driven by a combination of keystrokes and mouse movements. At the start of each program a list of possible keystrokes will be printed to the command window.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ModelFit
ModelFit Key Features
ModelFit Examples and Code Snippets
Community Discussions
Trending Discussions on ModelFit
QUESTION
I'm running the following code in LinqPad 5:
...ANSWER
Answered 2022-Jan-29 at 14:31Turns out this is because the bitmap was being loaded from a network path, and the network was occasionally disconnecting.
The documentation states:
QUESTION
I have a dataset with which I am doing k-folds cross-validation with.
In each fold, I have split the data into a train and test dataset.
For the training on the dataset X, I run the following code:
...ANSWER
Answered 2021-Nov-25 at 15:00You get the error because your column names changes when you pass as.data.frame(X). If your matrix doesn't have column names, it creates column names and the model expects these when it tries to predict. If it has column names, then some of them could be changed :
QUESTION
I currently have a multiple regression that generates an OLS summary based on the life expectancy and the variables that impact it, however that does not include RMSE or standard deviation. Does statsmodels have a rsme library, and is there a way to calculate standard deviation from my code?
I have found a previous example of this problem: regression model statsmodel python , and I read the statsmodels info page: https://www.statsmodels.org/stable/generated/statsmodels.tools.eval_measures.rmse.html and testing I am still not able to get this problem resolved.
...ANSWER
Answered 2021-Jul-26 at 19:20You could try something like this:
QUESTION
I am performing a multiple regression for 50 states to determine the life expectancy per state based on several variables. Currently I have my dataset filtered to only Maine, and I want to know if there is a way to create a For Loop to go through the whole State Column and perform a regression for each state. This would be more efficient than creating 50 filters. Any help would be great!
...ANSWER
Answered 2021-Jul-25 at 06:15###### Assuming rest of your code is ok I am sharing a strategy for the loop and storing model outputs:
pd.set_option('display.max_columns', None)
state_modelfit_summary = {}
states = df['State'].unique() # As you only need to loop once for each state
for st in states:
dfME = df[(df['State'] == st)]
model = smf.ols(Life Expectancy ~ Race + Age + Weight + C(Pets), data = dfME)
modelfit = model.fit()
# Store output in a dictionary with state name as key
state_modelfit_summary[st] = modelfit.summary
QUESTION
I am trying to use random forest model to do predictions on my test data. However, I get the following error:
Error in predict.randomForest(modelFit, newdata) : missing values in newdata
I'm not sure how can there be missing values as I have already checked and there doesn't seem to be any NAs.
My code:
...ANSWER
Answered 2021-Apr-15 at 12:25You can remove NA first then use the predict, RMSE, R2 function like
QUESTION
I want to use some of the parameters of the original deepnet package, so I set up a custom model. I read Caret's documentation (Custom Model), but it doesn't work.
Here is my code for setting up the customized model:
...ANSWER
Answered 2021-Mar-08 at 19:27I found the answer myself...
It was a simple mistake: I had to remove the quotation marks in method when applying the customized model:
QUESTION
i try to add a space into a layername of a rasterstack
...ANSWER
Answered 2021-Feb-20 at 22:24The reason why names(predstack)[[1]] <- "MSR670 max" is not working as intended for you is the way the names() function is implemented in the raster package.
Here you can see the method that is applied when calling the names() function on an object of class RasterStack. In line 60 the method calls the validNames() function which is defined here.
validNames() in turn relies on a function called make.names() which basically ensures that there are no white spaces and other unwanted characters within a string (e.g. your raster name).
So looking at the way the names method assigns names to objects of class raster or rasterStack gives a hint on how we might be able to circumvent the issue.
TLDR:
QUESTION
I am trying to build a simple Naive Bayes classifer for mushroom data. I want to use all of the variables as categorical predictors to predict if a mushroom is edible.
I am using caret package.
Here is my code in full:
...ANSWER
Answered 2020-Nov-09 at 22:14What you are trying to do is a bit tricky, most naive bayes implementation or at least the one you are using (from kLAR which is derived from e1071) uses a normal distribution. You can see under the details of naiveBayes help page from e1071:
The standard naive Bayes classifier (at least this implementation) assumes independence of the predictor variables, and Gaussian distribution (given the target class) of metric predictors. For attributes with missing values, the corresponding table entries are omitted for prediction.
And your predictors are categorical so this might be problematic. You can try to set kernel=TRUE and adjust=1 to force it towards normal, and avoid kernel=FALSE which will throw the error.
Before that we remove columns with only 1 level and sort out the column names, also in this case it's easier to use the formula and avoid the making dummy variables :
QUESTION
I have used the tidy/glance/augment functions from the broom package before with 'dynlm' functionality for time series data - that worked well!
Now I am trying to use it again on plain regression data (not necessarily time series data). the 'dynlm' function works and gives the right result for summary etc. but when I try to use the tidy(modelfit), it comes up with an error saying 'No tidy method for object of class dynlm'. But it works when I use 'lm' rather than 'dynlm'.
Any idea why? Am I missing something here? Does 'dynlm' work only with time series data? If yes, then why do I get the right model fit result?
As an example, here's the output from the tidy command on the 'lm' result object :-
...ANSWER
Answered 2020-Sep-22 at 04:16The package broom is basically a collection of "if the class of the result is XXX, then do YYY to tidy it". You can see the collection that has been implemented here. It has 24 methods with "lm" in their names, but not dynlm.
If the behavior that a dynlm-tidier should have is obvious enough, you can implement it yourself and eventually even submit it to be included in the package (if you're sure you have written good-quality code).
QUESTION
I am working with the morley data. I am doing randomized block experiment with Run as the treatment factor and Expt as the blocking factor. I need to identify if there a difference between runs and what efficiency is gained by blocking.
The code I used to solve this problem is:
...ANSWER
Answered 2020-Apr-22 at 15:51The variable speed was not called into the dataset in your code.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ModelFit
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
