Made casepleauralspaces not nullable

[askalik]

per open item #200 made casepleauralspace not nullable. Updated template and model

Description

changd the casepleauralspace so that is not nullable

Reference to official issue

Motivation and Context

How Has This Been Tested?

Screenshots (if appropriate):

Metrics (if appropriate):

If you submitting a PR for a prediction algorithm (segmentation, identification,
or classification) please fill in values for as many as the below statistics as
are relevant.

algorithms by metric

metric	relevant algorithms
accuracy 1 2	classification, identification
data IO	classification, identification, segmentation
Dice coefficient 3	segmentation
disk space usage	classification, identification, segmentation
Hausdorff distance 3	segmentation
Jaccard index	segmentation
Log Loss	classification, identification 4
memory usage	classification, identification, segmentation
prediction time 2	classification, identification, segmentation
sensitivity 3	segmentation
specificity 3	segmentation
training time 2	classification, identification, segmentation

notes

1. Use 5-fold cross validation if there is enough time and computational power available, otherwise use a holdout set
2. This metric may be automatically calculated by the machine learning architecture, e.g., Keras
3. The calculations for these metrics are available here
4. In order to calculate Log Loss for identification, the data needs to be arranged in a way that shows for each pixel, whether or not it is a nodule centriod. Restated, the pixel level labels of 1/0 would correspond to centriod/not-centriod.

metrics by algorithm

algorithm	relevant metrics
classification	accuracy, data IO, disk space usage, Log Loss, memory usage, prediction time, training time
identification	accuracy, data IO, disk space usage, Log Loss, memory usage, prediction time, training time
segmentation	data IO, Dice coefficient, disk space usage, Hausdorff distance, Jaccard index, memory usage, prediction time, sensitivity, specificity, training time

When reporting your values, please use a format similar to the following example.

algorithm	metric	value
segmentation	accuracy	99.5
segmentation	Jaccard index	0.5
segmentation	prediction time (s)	45.3
segmentation	memory usage (MB)	5.4

CLA

• I have signed the CLA; if other committers are in the commit history, they have signed the CLA as well

[askalik]

I believe this pull request resolves the issue in the bug