Parameters and distributions¶
This page describes the format of the expected model parameters and distributions.
Model parameters¶
Diametrizer model parameters¶
The model parameters used to diametrize a cell |
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type |
object |
properties |
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The sibling ratio |
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The tapers |
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The terminal diameters |
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The trunk diameters |
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The trunk tapers |
additionalProperties |
True |
Diameter model¶
The model used to diametrize a cell |
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properties |
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The distribution properties |
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type |
string |
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enum |
exponnorm, expon_rev, gamma, skewnorm |
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The parameter properties |
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type |
object |
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properties |
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type |
number |
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type |
number |
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type |
number |
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type |
number |
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type |
number |
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type |
number |
|
additionalProperties |
False |
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|
oneOf |
type |
string |
enum |
asymmetry_threshold |
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type |
null |
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additionalProperties |
False |
Neurite type model¶
The model used to diametrize each neurite type |
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type |
object |
properties |
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additionalProperties |
False |
Distributions¶
Diametrizer config¶
The config used to diametrize a cell |
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type |
object |
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properties |
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Features from NeuroM |
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patternProperties |
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These properties can be used to filter features by value |
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type |
object |
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properties |
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type |
number |
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type |
number |
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|
type |
number |
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additionalProperties |
False |
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additionalProperties |
False |
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|
The diameter models |
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type |
array |
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items |
type |
string |
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The number of samples used to build the diameters |
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type |
integer |
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minimum |
1 |
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The random seed used |
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type |
integer |
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properties |
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type |
number |
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|
type |
number |
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|
type |
number |
||
|
type |
number |
||
additionalProperties |
False |
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|
type |
number |
||
|
type |
number |
||
additionalProperties |
False |