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H: Using MinMaxScaler on Training Set... Do I need to scale the input for a prediction as well?
I know this is a rookie question, but I'm having trouble with getting predictions out of a model. I use a MinMaxScaler() function on the training set as seen below...
scaler = MinMaxScaler()
X_train = scaler.fit_transform(X... |
H: Should I try to predict the probability of being 1 or zero based on recall score?
I built a random forest model to classify if a men's NCAA basketball game would go over or under the total. The model was given training data that specified over as 1 and under as 0. I then used a classification report to calculate th... |
H: High accuracy on test-set, what could go wrong?
You are given a pre-trained binary ML classification model with 99% accuracy on the test-set (assume the customer required 95% and that the test-set is balanced). We would like to deploy our model in production. What could go wrong? How would you check it?
My answer... |
H: Is the PR AUC invariant under label flip?
The ROC-AUC curve is invariant under a flip of the labels. I don't know if its a famous result so I will give the proof below. My question is if the PR-AUC curve also has this property. I have not been able to prove or disprove it yet.
The reason this is important is that w... |
H: Does statsmodels compute R2 and other metrics on a validation-/test- set?
Does statsmodels compute R2 and other metrics on a validation set?
I am using the OLS from the statsmodels.api
when printing summary, an r2 and r2_asjusted are presented.
I did not trust those 0.88 and computed an own adjusted R2 with scikit-... |
H: Does Gradient Boosting perform n-ary splits where n > 2?
I wonder whether algorithms such as GBM, XGBoost, CatBoost, and LightGBM perform more than two splits at a node in the decision trees? Can a node be split into 3 or more branches instead of merely binary splits? Can more than one feature be used in deciding h... |
H: Maximum Likelihood estimation
Given a sample $ X_1,X_2 \dots X_{100}$ and the density function $ f(x;\theta) = \frac{1}{\pi \cdot \left(1+\left(x-\theta \right)^2\right)}$ , find an approximate solution for $\hat{\theta}_{MLE.}$
My attempt:
I have found the joint likelihood $L(\theta;x_1,x_2\dots x_{100}) = \pro... |
H: Scaling the activation function
It is obvious that I have to scale the output data if the range of values is between say [-10;10] and the activation function of the output layer takes values in the interval [-1;1]. But I could also scale the activation function by multiplying it with the factor 10 instead. It seems... |
H: Is there a fundamental difference from creating a model for each value in a category?
I am creating a few models based on service requests. The services being requested are not distributed equally, some services being used sparingly, whereas others are quite common.
I had these services as categorical variables and... |
H: Pandas replace column values by condition with averages based on a value in another column
I have a dataframe with people's CV data.
Among others, there's a column with years of experience, and a column with age.
Some people stated their age and experience in a way that experience > age. For example age=30 and expe... |
H: Which definition of Likelihood function is correct?
In the online version of the Deep Learning book on chapter 5 the estimator for likelihood function is defined as:
That is the product of individual probabilities. After taking the log it arrives at the log-likelihood funciton (Eq.1):
It then rescales the above b... |
H: Building a summary string in a Pandas groupby (Possibly cross-tab or pivot-table question)
I am a novice in Python pandas.
I would like to do a particular aggregation / grouping / cross-tab but I know so little of the terminology that I do not even know how to look this up.
But here is what I would like.
Say I have... |
H: Why isn't all data periodic?
Let's say we have 2 classes (-1 and 1), 1 feature (x), and an arbitrary amount of data points.
Why can't we always find a frequency and phase that fit a sine wave or a square wave to our data points? When graphed, as frequency is increased, the sine function almost seems to cover the en... |
H: Regressing Elbow-like Plot
I have data consisting of light wavelength and some coefficient. The wavelength in the data I have is in steps of 10s and I need the coefficient for a wavelength that is between the values I have (eg. 432.5 nm). Data:
wavelen coeff
380 0.982
390 0.564
400 0.378
... |
H: Calibrating probability thresholds for multiclass classification
I have built a network for the classification of three classes. The network consists of a CNN followed by two fully-connected layers. The CNN consists of convolutional layers, followed by batch normalization, a RELU activation, max pooling and drop ou... |
H: Methods of disaggregating data to smaller units?
I have a relatively straightforward question that I know poses some difficult challenges.
Let's say I have a state-level rate of X. I would like to disaggregate the state-level rate to the county-level. I realize this is can be dangerous (ecological fallacy), but I h... |
H: Trying to figure out which the training set is
Can someone help me on this one? As can be seen in the screenshot, it says the loss is 1/2. Where's that 1/2 coming from? How can I replace the values in the h(s) function?
Source PDF
AI: As can bee seen in the screenshot, it says the loss is 1/2. Where does that 1/2 ... |
H: XGBoost feature importance has all features but decision tree doesn't
I have used XGBoost to train a model with 400 features. My understanding is that since the max_depth is default at only 6, and 2^6 < 400, not all features will end up in the tree.
How come when I output the feature importance chart, it shows ever... |
H: Hyperparameter tunning for Random Forest- choose the best max depth
I'm trying to choose the best parameters for random forest model.
For that goal I hae run my model in loop with only one parameter and each time I have changed the number for the parameter max depth. I have created two charts: one for the model sc... |
H: Why decreasing the number of convolutional layers inside a CNN increases the number of parameters?
I am building a CNN from scratch, and I am trying to change the number of convolutional layers to see what happens.
I have noticed that decreasing the number of convolutional layers increases the number of parameters.... |
H: Lower training accuracy than testing accuracy (MLP/Dropout)
I am working on a problem of multi-class classification by MLP. I have set dropout to each middle layer. Now I observe the training accuracy is around 10% less than the testing accuracy.
My guess is, dropout is active only during training but inactive duri... |
H: Train and test the model using 2 separate datasets
I have a big data-set (14K subjects) and a small data-set (100 subjects). Both have same number and similar features (20). They are not overlapped.
I used the big data-set to train a regression model and validate it. Then I identified the most significant features ... |
H: Which phrase should be returned in case of multiple matches when comparing text?
I want to compare one sentence to some other sentences using the Bag of Words model. Suppose that my comparing sentence is:
I am playing football
and there are three more sentences that I want to compare my comparing sentence with. The... |
H: Which script can be used to finetune BERT for SQuAD question answering in Hugging Face library?
I have gone through lot of blogs which talk about run_squad.py script from Hugging Face, but I could not find it in the latest repo. So, which script has to be used now for fine tuning?
AI: A recent PR changed the locati... |
H: Replace value of a column if the value of another column is a duplicate
I have a Pandas dataframe that contains three columns: ID, name and date. The name column is not unique and may contain duplicates. I want to change the date of the duplicated name to the earliest date. For example:
Input:
id name date
1 ... |
H: How to reconstruct a scikit-learn predictor for Gradient Boosting Regressor?
I would like to train my datasets in scikit-learn but export the final Gradient Boosting Regressor elsewhere so that I can make predictions directly on another platform.
I am aware that we can obtain the individual decision trees used by t... |
H: Understanding projection layer for BLSTM
In many research papers there are 'projection layers' related to BLSTM layers. For example, from here:
"we trained an 8-layer BLSTM encoder including 320 cells in each layer
and direction, and the linear projection layer with 320 units followed
by each BLSTM layer"
I can't... |
H: Order of hyperparamater tunning
I'm trying to do hyperparameter tunning for random forest regression model.
My question is- is there any order I should do it? like starting with specific parameter and then move on on the other? should I check the model each time with one paramter only or for each parameter i'm ch... |
H: What is the meaning of pct_trend_adjusted in FiveThirtyEight's polling data?
I'm working on polling data from fivethirtyeight. What is the meaning of the pct_trend_adjusted column here? I understand that pct stands for percentage, but I don't get what the trend is that they are adjusting for, and how these figures ... |
H: Does shuffling the training data matter in a K Nearest Neighbors Classifier model?
I am new to machine learning and I have a couple of questions about a project.
So, I created a classifier using the MNIST data set for a ML project that I was working on. I augmented the data by shifting each original point 2 pixels ... |
H: Is it advisable to merge similar datasets to improve model accuracy?
I'm trying to build a classifier that would help me classify whether a statement collected from Reddit is bullish, bearish or neutral.
To this end, I have hand-labelled a fairly small dataset of 2500 entries, each with max 280 characters. Unfortun... |
H: high accuracy on non trained class in tensorflow model
I have trained a 4 multi-class (apple_nature, apple_disease, apple_blacrot, apple_healthy) image classification algorithm using TensorFlow. However, after training, we get a good accuracy model.
The problem I am facing is when I predict tomato images it gets hi... |
H: Fill missing values(NaN) based on the previous row that contains a specific value?
I would like to fill the missing data using the value from the previous trading day of the same stock. In this example, the AAPL stock should be 100.
I've tried with fillna but I am not able to pick a specific row based on the stock.... |
H: ValueError: y should be a 1d array, got an array of shape (1045, 5) instead
I have just started Python and working on training models. The task that I have been assigned is to train a dataset named "austin_Weather"
Original Dataset
y attribute
After having done some manipulations (following the article), these are ... |
H: Identify outliers for annotation in text data
I read the book "Human-in-the-Loop Machine Learning" by Robert (Munro) Monarch about Active Learning. I don't understand the following approach to get a diverse set of items for humans to label:
Take each item in the unlabeled data and count the average number of word... |
H: Classify tweets by topic
I am approaching machine learning for the first time because of my studies. I have been given a bunch of tweets and the goal is to classify them per topic. I really have no clue on how this should be done. Is there a particular way to follow?
Until now, I have only found topics and was thin... |
H: What's the difference between data classification and clustering (from a Data point of view)
What are the differences and the similarities between data classification (using dedicated distance-based methods) and data clustering (which has certain defined methods such as k-means)
Is data classification a sub-topic o... |
H: PCA, covariance, eigenvector matrix and rotation
I am following the Coursera NLP specialization, and in particular the lab "Another explanation about PCA" in Course 1 Week 3.
From the lab, I recovered the following code. It creates 2 random variables, rotates them to make them dependent and correlated, and then run... |
H: How to apply MultiOutputClassifier to a dataset for Naive-Bayes algorithm
I have a dataset which is as follows, (it's taken from an article online and I have been trying to Naive Bayesian algorithm on it)
Original Dataset
y attribute
After having done some manipulations (following the article), these are my new dat... |
H: Output of evaluation metric for XGBoost - is it cumulative?
On the 10th boosting round for XGBoost, I get an MAP of 0.32 on the test data. Does that reflect the performance of just that 10th tree? Or the performance of all 10 trees combined that have been created so far?
AI: That reflects the performance of the boo... |
H: Why do machine learning engineers insist on training with more data than validation set?
Among my colleagues I have noticed a curious insistence on training with, say, 70% or 80% of data and validating on the remainder. The reason it is curious to me is the lack of any theoretical reasoning, and it smacks of influ... |
H: Pytorch Luong global attention: what is the shape of the alignment vector supposed to be?
I am looking at the Luong paper on Attention models and global attention. I understand how the alignment vector is computed from a dot product of the encoder hidden state and the decoder hidden state. So that all makes sense.
... |
H: Recommender/Clustering data to support a hypothesis. Is this a valid use-case for unsupervised ML?
I have a dataset where some items have been labelled (categorized into 4 classes [A,B,C,D]). However, there is a vast majority of the dataset which has not been labelled. My hypothesis is that there are some character... |
H: Dropping features after final evaluation on test data
Would you please let me know if I am committing a statistical or machine learning mal-practice in this procedure?
I want to estimate meteorological variable y1 from ${x_1, ..., x_{10}}$ variables. I use data from different weather stations. I keep some weather s... |
H: Build a corpus for machine translation
I want to train an LSTM with attention for translation between French and a "rare" language. I say rare because it is an african language with less digital content, and especially databases with seq to seq like format. I have found somewhere a dataset, but in terms of quality,... |
H: Tweet Classification into topics- What to do with data
Good evening,
First of all, I want to apologize if the title is misleading.
I have a dataset made of around 60000 tweets, their date and time as well as the username. I need to classify them into topics. I am working on topic modelling with LDA getting the righ... |
H: How to deal with ternary Output neurons in the Output classification layer of a simple feedforward Neural Net?
I was looking into the multi-label classification on the output layer of a Neural Network.
I have 5 Output Neurons where each Neuron can be 1, 0, or -1. independent of other Neurons.
So for example an Outp... |
H: Is there a difference if input nodes have discrete or range value
If you have some input nodes containing fruit values like {apple=0, pear=1, oranges=2} vs temperature values like {5, 10, 30, 50}.
Is there any difference on how you set up the neural network to learn the output?
I'm guessing on the first case the ne... |
H: Interpreting vertical and horizontal parts of ROC curve
It's not clear to me how I can interpret vertical and horizontal parts of the ROC curve. What important information can I gain from this? This is a text from the book "Human-in-the-Loop Machine Learning" by Robert Monarch:
In this example, we can see that the... |
H: Inference order in BERT masking task
In BERT, multiple words in a single sentence can be masked at once. Does the model infer all of those words at once or iterate over them in either left to right or some other order?
For example:
The dog walked in the park.
Can be masked as
The [mask] walked in [mask] park.
I... |
H: Strings/ features in Turicreate decision tree
I am trying to create a prediction model by using a decision tree with Turicreate. While my problem does involve numbers, it also involves strings and ultimately I want it to return the string 'true/false'. Are Turicreate decision trees able to process strings as input ... |
H: How to specify a location for text in a graph plotted by Python?
I would like to plot a graph of actual and predicted values with Python after doing a regression. I used the following codes. However, the text "R^2=0.91" is placed on the right hand side and crossing the second Y axis. Is it possible that I change it... |
H: Grouping by similarity
I would like to find a way/algorithm to group people into, say, four groups by their answer similarity to yes/no questions.
So, each pair of people in one group would have given the same answers for a big part of the questions – (mostly) bigger than compared to people from the other three gro... |
H: Which visualization tool should I use?
We consider the below function :
$f(x,y,z,a) = x*y*z*a$, where $x,y \in \mathbb{Q}\cap[0,1000],$ $ a\in\{2,3\} $
and $z=z(x)$, taking values from the below table based on the level-range that $x$ belongs to.
For instance, if $x=150$, then $z=5.$
I am looking for the proper vi... |
H: Why the Silhouette Score and optimal number of Cluster changes when using 2D and 3D data?
I am experimenting with Kmeans clustering. My data (vectors) was in 300 dimensions which I am converting into 2D and 3D using PCA. Now, to find the optimal number of clusters, I used the Silhouette score. However, for 2D the b... |
H: Optimal selection of k in K-NN
I am currently reviewing some concepts related to Machine Learning, and I started to wonder about the hyperparameter selection of K-NN classifier.
Suppose you need to solve a classification task with a number of classes equal to M: I was thinking that the best choice for the parameter... |
H: How to version data science projects with large files
I am working on a project with large data files (~300MB). I want to version my work along with the data files so that it is always available online. I tried using git-lfs but it has a 1GB/month bandwidth limit, beyond which you're blocked for a month.
What are v... |
H: Classic sport match prediction
So, I am currently learning machine learning and data analysis. I have created for my self a problem that is:
Who will win a match of soccer
Now, I have narrowed it down as being a Binary Classification problem as I only want to figure out who will be the winner of a match.
For this I... |
H: Can I pass path to a dataset in train_test_split
My Directory
C:
--Dataset
--image1.png
--image2.png
--image3.png
--image4.png
--image5.png
lst = [C:\Dataset\image1.png, C:\Dataset\image2.png, C:\Dataset\image3.png ...]
Can I pass this list to train_test_split instead of loading and input the dataset t... |
H: How to interpret results of a Clustering Heart Failure Dataset?
I am doing an analysis about this dataset: click
In this dataset there are 13 features, 12 of input and 1 is the target variable, called "DEATH_EVENT". I tried to predict the survival of the patients in this dataset, using the features.
Hoewever, now I... |
H: OneHotEncoding target variable?
I'm working on a multiclass classifier with 6 classes on the target column and I was thinking about Hot Encoding the classes, thus having 6 target columns. Will this improve efficiency? I am using sklearn.
L.E: improve efficiency compared to just label encode
AI: It would be a bad id... |
H: How to determine if dataset is a suitable representation of the context?
How can I determine if the data I have collected is a good enough representation of the context? For example, I am working on an object detection system and have been building an image dataset. How can I know if my dataset represents the task?... |
H: What will happen if almost constant values for features?
In a problem of an epidemiology dataset, is it desirable to keep the features that have almost constant values?
For example, In case of the feature, type_of_residence Large for 97 percent and Small for 2.7 percent of subjects. Is it okay to keep this feature?... |
H: Is a BiLSTM layer required if we use BERT?
I am new to Deep learning based NLP and I have a doubt -
I am trying to build a NER model and I found some journals where people are relying on BERT-BiLSTM-CRF model for it. As far as I know BERT is a language model that scans the contexts in both the directions and embeds... |
H: Microsoft custom vision vs Tensorflow model?
I am planning to implement my own image classifier model using TensorFlow instead of a custom vision platform.
what is the biggest difference between custom vision(https://www.customvision.ai/) vs TensorFlow?
AI: There are many differences as these are inherently complet... |
H: Getting prediction labels from TensorFlow 2 ImageGenerator
I have created Image Generators that I used for training on labeled data. Now I want to make predictions on unlabeled data using the generators. I created a test generator as follows:
test_generator = gen_test.flow_from_directory(
te... |
H: AttributeError: 'numpy.ndarray' object has no attribute 'nan_to_num'
I'm trying to run a Random Forest model from sklearn but I keep getting an error: ValueError: Input contains NaN, infinity or a value too large for dtype('float32').
I tried following steps in ValueError: Input contains NaN, infinity or a value to... |
H: IterativeImputer - Returning -0 and other wierd results
I am using IterativeImputer to impute my dataset.
from sklearn.experimental import enable_iterative_imputer
from sklearn.impute import IterativeImputer
imp = IterativeImputer(random_state=0, max_iter=100, verbose=10)
imp.fit(hosp)
hosp_imputed = pd.DataFra... |
H: What is the number of neurons for the input layer of the BERT?
I think it is the vocab size. However I am not sure and I appreciate your help.
AI: It is not very clear what you are referring to with "number of input neurons".
The input layer in BERT is an embedding layer, which is a table of vectors. Each of those ... |
H: CNN inference is slow on Jetson Nano
I'm running what I believe is a pretty lightweight CNN on an nVidia Jetson Nano with Jetpack 4.4.
nVidia claims the Nano can run a ResNet-50 at 36fps, so I expected my much smaller network to run at 30+ fps with ease.
Actually though, each forward pass takes 160-180ms, so I scor... |
H: Calculate the similarity between pairs of time series data
I have 5 pieces of time series data. It is the weekly sales of 5 different stores (A,B,C,D,E). There are no missing values. A quick visual inspection shows that these 5 pieces of time series data have similar trend & seasonality.
I would like to calculate/q... |
H: Xgboost : A variable specific Feature importance
I have a data set something like this:
data = [['Alex',10,13,1,0],['Bob',11,14,12,0],['Clarke',13,15,13,1],['bob',12,15,1,1]]
df = pd.DataFrame(data,columns = ["dealer","x","y","z","loss"])
I am trying to predict binary column loss, I have done this xgboost model. I... |
H: PyTorch: LSTM for time-series failing to learn
I'm currently working on building an LSTM network to forecast time-series data using PyTorch. I tried to share all the code pieces that I thought would be helpful, but please feel free to let me know if there's anything further I can provide. I added some comments at t... |
H: How to replace values in a numpy array?
I'm learning how to implement and evaluate a Logistic Regression Model, for this I need to change the values of my array from strings to 0 & 1.
I have the following numpy ndarray as a result of a DataFrame.values call
['PAIDOFF', 'COLLECTION', 'COLLECTION', 'PAIDOFF', 'PAIDOF... |
H: Why does BERT embedding increase the number of tokens?
I am new to DataScience and trying to implement BERT embedding for one of my problems. But I am having one doubt here.
I am trying to embed the following sentence with BERT - "Twinkle twinkle little star".
BERT tokenizer generates the following tokens - ['twin'... |
H: What are the differences between MLP and DNN?
So I have been reading about the topic for a while, but i did not find a clear answer why MLP and DNN are being used interchangeably even though there are some differences between them.
So far I have filtered some informations:
"The field of artificial neural networks i... |
H: Variance of product of a matrix and vector using Python
I am trying to calculate the variance of the product of matrix A and vector b. As it was mathematically discussed on another post https://math.stackexchange.com/questions/2365166/what-is-the-variance-of-a-constant-matrix-times-a-random-vector, I have tried to ... |
H: GridSearchCV with custom tune grid
What is the best way to perform custom parameter search CV with the Scikit-learn API? I really like GridSearchCV. However for my case the param_grid parameter is inflexible because it will search over the entire span of parameter combinations. Ideally, I would like to provide my ... |
H: What is the name of this visualization with a circle and internal arcs?
I came across this visualization where there is a circle with data points on the circle and internal lines (arcs or edges) between the points on the circle. What is the name of this type of visualization?
How would I generate it from a 2-D tab... |
H: How to apply Normalisation using the MinMaxScaler() to all Columns, but Exclude the Categorical?
Below, I have the following datatset:
sample_df.head(2)
ID S_LENGTH S_WIDTH P_LENGTH P_WIDTH SPECIES
-------------------------------------------------------------------
1 3.5 2.5 ... |
H: How to add a column for descending row numbers into dataset in R
I am new to R and would like to insert a new column that numbers the row to a large dataset.
I have no idea how to use 'mutate()' to insert this. Would appreciate any help.
Thanks.
AI: Use mutate in combination with row_number as follows:
df %>% mutat... |
H: Is the output size of the last layer of a standard fully connected neural network the same as the input size?
Let's say I have a neural net with Dense layers. The input layer has 3 neurons, the single hidden layer has 5 neurons, and the final output layer has 2 neurons.
For layer 1, 3 inputs go in and 5 inputs go o... |
H: Tuning the model parameters vs the parameter of optimizer for Deep Neural Networks?
I understand that there are rarely general recipes in field of machine learning and the many results can be achieved only by trial and error, and are task specific as well.
My question is, if the model doesn't give a desired quality... |
H: How to convert input numpy data to tensorflow tf.data to train model in tensorfow?
I am working on an image classification problem using TensorFlow. I have converted my input image dataset and label into NumPy data but it takes more time and more ram to load all the data into memory because I have 90K images. I wou... |
H: How to detect misclasification data after multiclass classification?
I have trained a neural network multi-class classification model with around 150 classes having around 85% accuracy. Once the model is trained and deployed, it's predicting on new data and I am saving the logs. Now I have to detect those data-poin... |
H: Converting paragraphs into sentences
I'm looking for ways to extract sentences from paragraphs of text containing different types of punctuations and all. I used SpaCy's Sentencizer to begin with.
Sample input python list abstracts:
["A total of 2337 articles were found, and, according to the inclusion and exclusio... |
H: Problem reading python code
Can someone explain the following python code.
value_geojson["features"][0]["properties"]["title"]
value_geojson is a geojson variable.
I like to think that I'm not a total python newbie but these are too many [] for me. I am a GeoJSON newbie though.
Would appreciate help on that one, e... |
H: Error when trying .transform for OrdinalEncoder from Scikit Learn
I'm having a lot of issues using scikit learn recently and was hoping someone could help me with my problem. I can use other methods to ordinal encode but i want to figure this one out.
for i in range(len(ordinal_orders)):
ord_en = OrdinalEncoder(... |
H: What is the difference between cache() vs prefetch() in tensorflow?
I have gone through the TensorFlow documentation.
What is the difference between cache() vs prefetch() in TensorFlow?
When should I use the cache() function and when should I use the prefetch() function?
AI: The tf.data.Dataset.cache transformation... |
H: Will images modification get me a better machine learning model?
Will images modification get me a better machine learning model?
I have the following scenario. Camera is fixed and does photos of a process. The process has a few states. Now I want to train a model given a photo to classify to which state, does the ... |
H: Trying to run a kaggle notebook
I'm found an interesting problem on kaggle and more or less solved it with my limited knowledge of machine learning. I was curious how other people solved and checked the solution with the highest vote.
The solution includes a line where is implementing and training a model.
params =... |
H: Machine Learning for medical researchers
My friend is a medical researcher and he want to use machine learning for prediction.
Is there any one who is not a computer science person and he learnt programming and machine learning in a very short time? And how?
AI: He can use no-code ML platforms such as: RapidMiner ... |
H: How to retrieve column names from applying a wrapper method in feature selection?
This question probably has a simple answer to it, so I will get to the point...
How do I retrieve the names of the columns from applying a wrapper method in feature selection?
Code I have used:
from mlxtend.feature_selection import Se... |
H: Transformer model: Why are word embeddings scaled before adding positional encodings?
While going over a Tensorflow tutorial for the Transformer model I realized that their implementation of the Encoder layer (and the Decoder) scales word embeddings by sqrt of embedding dimension before adding positional encodings.... |
H: Is it ok to fill a pandas dataframe with NaN values?
Is it correct to fill a pandas dataframe with NaN values? In specific: if I have a dataframe with a user name and his age is it ok to fill the age column with int and NaN values.
Names Age
Lisa 25
Jack NaN
Tom 32
Later on I want to work with this datafr... |
H: ML/NN as Function Evaluator for further Optimization (maximization) - Practical Example
I am working on a production optimization problem; a very similar idea to what is described by Vegard Flovik How to use machine learning for production optimization. The following image, taken from the referred post, summarizes ... |
H: Flipping the labels in a classification problem
Let us say A- we have a binary classifier with labels 1 as healthy and 0 as sick. The precision we got is 100% and the recall is 70%.
Now let us say B-we flip the labels where 0 is healthy and 1 as sick.
Are Precision and recall get flipped in their values if you fli... |
H: How to Connect Convolutional layer to Fully Connected layer in Pytorch while Implementing SRGAN
I was implementing the SRGAN in PyTorch but while implementing the discriminator I was confused about how to add a fully connected layer of 1024 units after the final convolutional layer
My input data shape:(1,3,256,256... |
H: Selecting a boundary on a binary classifier to optimal precision and recall
I have a logistic regression classifier that shows differing levels of performance for precision and recall at different probability boundaries as follows:
The default threshold for the classifier to decide which class something belongs to... |
H: Get data from intermediate layers in a Pytorch model
I was trying to implement SRGAN in PyTorch and I have to write a Content loss function that required me to fetch activations from intermediate layers for both the Generated Image & Original Image.
I'm using pretrained VGG-19 and according to the paper I need the ... |
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