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view all learning resourcesHello, I am hoping to get some advice in modelling based on the historical data. For the process the model is based on, it has 3 steps dep1->dep2->etch3, for each step there are 3 continuous factors. So in total, I have 3*3 factors, 9 factors. However, for some historical runs, there is no step 3etch but 1 and 2. Could I take the "3 steps run" and "2 steps run" as one table and build model out of...
Hi - I would like to do a machine learning algorithm in JMP Pro 17 to predict Y based on 7 variables (X1, X2, ...X7), two of which are spatial coordinates (latitude and longitude) and one of which is a date. I would use a portion of my records as a training set, and a portion as my verification/testing set. Is JMP Pro equipped to machine learn on this geospatial (lat/long) dataset? And, if so...
import jmp;file_path = r"C:\0\test.txt"
data = []
with open(file_path, 'r') as file:
for line in file:
row = line.strip().split('\t')
data.append([float(row[0]), float(row[1])])
dt = jmp.DataTable("New Table", len(data))
col_A = dt.new_column('A', jmp.DataType.Numeric)
col_B = dt.new_column('B', jmp.DataType.Numeric)
for i, (a, b) in enumerate(data):
dt['A'][i] = a
dt[
...
Dear JMP community, I found that when fitting a multiple linear regression (y ~ X1 + X2, X1 is a continuous and X2 is a categorical variable), by default JMP defines the dummy variable X2 as -1 1. Is there a way to change it to 0 1, which will be the same as the default dummy variable coding as R? Thanks!
Hello, I am hoping to get some advice in modelling based on the historical data. For the process the model is based on, it has 3 steps dep1->dep2->etch3, for each step there are 3 continuous factors. So in total, I have 3*3 factors, 9 factors. However, for some historical runs, there is no step 3etch but 1 and 2. Could I take the "3 steps run" and "2 steps run" as one table and build model out of...
Hi - I would like to do a machine learning algorithm in JMP Pro 17 to predict Y based on 7 variables (X1, X2, ...X7), two of which are spatial coordinates (latitude and longitude) and one of which is a date. I would use a portion of my records as a training set, and a portion as my verification/testing set. Is JMP Pro equipped to machine learn on this geospatial (lat/long) dataset? And, if so...
import jmp;file_path = r"C:\0\test.txt"
data = []
with open(file_path, 'r') as file:
for line in file:
row = line.strip().split('\t')
data.append([float(row[0]), float(row[1])])
dt = jmp.DataTable("New Table", len(data))
col_A = dt.new_column('A', jmp.DataType.Numeric)
col_B = dt.new_column('B', jmp.DataType.Numeric)
for i, (a, b) in enumerate(data):
dt['A'][i] = a
dt[
...
This is my view of (and possibly an update to?) old post by @LandraRobertson Getting fast helpful answers to your questions as a person who answers quite a few posts here in JMP Community. The post is quite lengthy one but hopefully it helps someone. I have been mostly answering other peoples questions here in JMP community. I just wanted to write a Discussion topic on how you can get help faste...
I am trying to build a growth curve based on two repeats I created the graph using graph builder and when I tried to analyze the graph to do curve fitting using Gompertz model it separates the two repeat again instead of the mean and I can not add the standard deviation to each data point how I can fix that?
Hello JMP Community, I hope this message finds you well. I’m reaching out to the community with a specific inquiry about leveraging JMP for big data analytics. As someone deeply involved in analyzing large-scale datasets, I’m keen to maximize JMP’s potential and am particularly interested in any add-ons or extensions that can enhance its capabilities for big data work. In my current role, I often...
Hi, I have a multinomial logistic regression of 3 classes: 0, 1, and 2 and have associated individual models (via Fit Y by X) for N parameters. I am now looking into a sensitivity like study in which each parameter is assumed at certain levels (e.g. at min, max etc..). I have probabilities computed at each such parameter level. I like to rank order probability change in each class (0, 1 and 2) du...
Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...
Out of curiosity, has anyone ever managed to create something like a flame graph ( https://www.brendangregg.com/flamegraphs.html ) using Graph Builder? It looks like it would be ideal for analyzing hierarchical data, e.g. using the output of a linux "find . -ls" command to visualize disk usage.
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