Questions tagged [estimators]
The estimators tag has no usage guidance.
17
questions
0
votes
2
answers
25
views
Is probabilities mean of predicted class (RandomForest) a consistent estimator of class recall?
I'm working on a classification problem in order to predict among 50 different classes.
I'm using a Random Forest classifier and I'm using the predict_proba method ...
-1
votes
2
answers
323
views
gridsearchcv best coefficients do not match well with the perfect line
I wrote a program to find the best combination of coefficients to describe a variable. However, the coefficients from the gridsearchcv do not match well with the expected line. This is a sample of my ...
2
votes
0
answers
121
views
Offline/Batch Reinforcement Learning: Doubly Robust Off-policy Estimator takes huge values
Context:
My team and I are working on a RL problem for a specific application. We have data collected from user interactions (states, actions, etc.).
It is too costly for us to emulate agents. We ...
- 21
0
votes
2
answers
112
views
What is the value of AIC criterion if RSS is 0? [closed]
The AIC formula is :
$AIC = 2k + n Log(RSS/n)$
So if RSS is equal to 0, it is undefined. How do I deal with this? What value should it take?
1
vote
1
answer
138
views
Pearson correlation coefficient - is correlation estimator acceptable?
As far as I know when it comes to theory, we use Pearson correlation when we want to check the correlation between two variables, which are both continuous or discrete. For a mixed case it's not so ...
- 175
2
votes
2
answers
59
views
How can I do the correlation between two estimators?
I'm working with several estimators of all kind. Then, I want to stack these estimators, and the best is if they have low correlation between them.
I suppose that the correlation method depends on ...
- 131
1
vote
1
answer
350
views
Math behind, $MSE = bias^2 + variance$
Based on the deeplearningbook:
$$MSE = E[(\theta_m^{-} - \theta)^2]$$
$$equals$$
$$Bias(\theta_m^{-})^2 + Var(\theta_m^{-})$$
where m is the number of samples ...
- 1,164
-1
votes
1
answer
38
views
Is it possible to estimate
For example, if I want to know a page views/relative prevalence of a Reddit post, and I have the upvote and downvote data.
Is it valid that I use the upvote and downvote to predict that, even if I ...
- 1
1
vote
0
answers
26
views
Observation Operator - Data Assimilation
In data assimilation, one assumes the existence of a observation operator $\mathcal{H}$ that maps the model-state vector $\bf{x_b}$ to $
\bf{y_b}$ (the model-equivalent of the observations $\bf{y_o}$) ...
- 111
6
votes
1
answer
2k
views
What is the difference between a Categorical Column and a Dense Column?
In Tensorflow, there are 9 different feature columns, arranged into three groups: categorical, dense and hybrid.
From reading the guide, I understand categorical columns are used to represent ...
- 161
0
votes
2
answers
136
views
Latent variables with thresholds
There are many ML techniques to estimate latent variables such as the EM algorithm. Is there a technique that allows for thresholds for each of the latent variables?
I have a feature space with 10 ...
- 1
3
votes
3
answers
251
views
Using recurrent neural networks for modeling errors in IMUs
Inertial measurement units (IMU), usually composed of accelerometers and gyroscopes; are well known to have inherent errors in their data, originating from bias, random walk noise, temperature ...
- 175
1
vote
0
answers
3k
views
How to Save TensorFlow model using estimator.export_savemodel() [closed]
How can i Save the TensorFlow model using estimator.export_savedmode() ?
Especially, what should i put inside the ...
4
votes
1
answer
39k
views
'DecisionTreeClassifier' object has no attribute 'importances_'
I've this code in order to visualize the most important feature of each model:
...
- 367
1
vote
0
answers
85
views
Plotting estimates of Tail Dependence Coefficient in R
I want to plot the following estimate of the tail dependence coefficient:
$\hat{\lambda}_n=\frac{1}{k}\sum_{j=1}^nI_{\{X_j>X_{(n-k)},Y_j>X_{(n-k)}\}}$
where $I_{(.)}$ is an indicator function ...
- 11
0
votes
1
answer
66
views
Estimating forward velocity for a swimmer
With a modern IMU with 9 angles of freedom collecting accelerometer, magnetometer and gyroscope data on 3 axis, what would be the best approach on filtering the data and handling it to accurately ...
- 161
6
votes
1
answer
2k
views
How to estimate the mutual information numerically?
Suppose I have a sample {$z_i$}$_{i\in[0,N]}$ = {($x_i,y_i$)}$_{i\in[0,N]}$ which commes from a probability distribution $p_z(z)$. How can I use it to estimate the mutual information between X and Y ?
...
- 416