I am trying to create a heatmap using seaborn from 200 variables, however I am interested in plotting only those variables that have more than 0.5 correlation with the dependent variable (The first column of the df).
Is there a way to do this?
Related
I'm a beginner at python, I plotted a heatmap dendrogram and I want to add the distance (as an axis) value of clustering as shown below pic. Should I write a separate code or I can use the heatmap statement?
How can I create a custom weighted ResampleInstance in mlr? It is possible to specify weights in the train function or in a task description. I need to create custom weights for a time series for every resampling instance.
I am trying to extract regression residuals as a variable to my data so I could use them for different analysis in mydataset.
I use the following code:
fresid<-lm(var1 ~ var2+var3+var4+var5, data=female)
This gives me a table to the global enviroment, but A am unable to get fitting residuals for my data.
I get stuck about nn package in torch7, especially its table layers. How can I use its ConcatTable, CAddTable or any other methods to create network below?
Here I have two branch of my network, one contains 3 convolution layers and another only one layer. I wanted to sum the outputs of my last two convolution layers(sum the output of convolution 4th and convolution 5th), how should write my torch code using nn package.
Assuming your branches are implemented correctly:
local net = nn.Sequential()
:add(conv1)
:add(nn.ConcatTable()
:add(branch1)
:add(branch2))
:add(nn.CAddTable())
nn.CAddTable is not to be confused with nn.Sum. The first one receives a table of tensors and returns the summation of all tensor while the second one receives a single tensor and computes the sum of its elements along the specified dimension.
I want to know if I can use Spatial Join functions for visualize a dataset based in two variables.
My csv has 541000 rows and I'm trying to make a visualization in Zeppelin with Spark to minimize de point draws.
All examples I've seen are to GIS systems but there are not the type of data I need.
My csv is this:
id, variableX, variableY, type.
I'm trying to apply a Spatial Join logic to variableX and variableY.
Thank you.
spark-highcharts might do what you want.
It's too much to plot half million points directly. There are some aggregation or filter needed. spark-highcharts will do the aggregation automatically.
For 2 dimension data, chart type like, line, area, spline.
For 3 dimension data, chart type like, arearange, scatter can be used.
With following code to plot bank data provided in Zeppelin Tutorial. It can plot a spline chart with xAxis use column age, and yAxis using aggregated average balance
import com.knockdata.spark.highcharts._
import com.knockdata.spark.highcharts.model._
highcharts(bank.series("name" -> "age", "y" -> avg($"balance")).orderBy($"age")).
xAxis(new XAxis("age").typ("category")).
chart(Chart.spline).
plot()