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43 | 43 | <hidden />
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44 | 44 | </parameter>
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45 | 45 | <parameter>
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46 |
| - <parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type> |
| 46 | + <parameter_type source_parameter_type="ParameterType_Float">*ParameterNumber</parameter_type> |
47 | 47 | <key>elev.default</key>
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48 | 48 | <name>Default elevation</name>
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49 | 49 | <description>This parameter allows setting the default height above ellipsoid when there is no DEM available, no coverage for some points or pixels with no_data in the DEM tiles, and no geoid file has been set. This is also used by some application as an average elevation value.</description>
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52 | 52 | <default>0</default>
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53 | 53 | </parameter>
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54 | 54 | <parameter>
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55 |
| - <parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type> |
| 55 | + <parameter_type source_parameter_type="ParameterType_Int">*ParameterNumber</parameter_type> |
56 | 56 | <key>sample.mt</key>
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57 | 57 | <name>Maximum training sample size per class</name>
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58 | 58 | <description>Maximum size per class (in pixels) of the training sample list (default = 1000) (no limit = -1). If equal to -1, then the maximal size of the available training sample list per class will be equal to the surface area of the smallest class multiplied by the training sample ratio.</description>
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61 | 61 | <default>1000</default>
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62 | 62 | </parameter>
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63 | 63 | <parameter>
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64 |
| - <parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type> |
| 64 | + <parameter_type source_parameter_type="ParameterType_Int">*ParameterNumber</parameter_type> |
65 | 65 | <key>sample.mv</key>
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66 | 66 | <name>Maximum validation sample size per class</name>
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67 | 67 | <description>Maximum size per class (in pixels) of the validation sample list (default = 1000) (no limit = -1). If equal to -1, then the maximal size of the available validation sample list per class will be equal to the surface area of the smallest class multiplied by the validation sample ratio.</description>
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70 | 70 | <default>1000</default>
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71 | 71 | </parameter>
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72 | 72 | <parameter>
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73 |
| - <parameter_type source_parameter_type="ParameterType_Empty">ParameterBoolean</parameter_type> |
| 73 | + <parameter_type source_parameter_type="ParameterType_Empty">*ParameterBoolean</parameter_type> |
74 | 74 | <key>sample.edg</key>
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75 | 75 | <name>On edge pixel inclusion</name>
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76 | 76 | <description>Takes pixels on polygon edge into consideration when building training and validation samples.</description>
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107 | 107 | <default>0</default>
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108 | 108 | </parameter>
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109 | 109 | <parameter>
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110 |
| - <parameter_type source_parameter_type="ParameterType_Choice">ParameterSelection</parameter_type> |
| 110 | + <parameter_type source_parameter_type="ParameterType_Choice">*ParameterSelection</parameter_type> |
111 | 111 | <key>classifier.svm.m</key>
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112 | 112 | <name>SVM Model Type</name>
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113 | 113 | <description>Type of SVM formulation.</description>
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145 | 145 | <default>1</default>
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146 | 146 | </parameter>
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147 | 147 | <parameter>
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148 |
| - <parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type> |
| 148 | + <parameter_type source_parameter_type="ParameterType_Float">*ParameterNumber</parameter_type> |
149 | 149 | <key>classifier.svm.nu</key>
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150 | 150 | <name>Parameter nu of a SVM optimization problem (NU_SVC / ONE_CLASS)</name>
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151 | 151 | <description>Parameter nu of a SVM optimization problem.</description>
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154 | 154 | <default>0</default>
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155 | 155 | </parameter>
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156 | 156 | <parameter>
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157 |
| - <parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type> |
| 157 | + <parameter_type source_parameter_type="ParameterType_Float">*ParameterNumber</parameter_type> |
158 | 158 | <key>classifier.svm.coef0</key>
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159 | 159 | <name>Parameter coef0 of a kernel function (POLY / SIGMOID)</name>
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160 | 160 | <description>Parameter coef0 of a kernel function (POLY / SIGMOID).</description>
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163 | 163 | <default>0</default>
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164 | 164 | </parameter>
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165 | 165 | <parameter>
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166 |
| - <parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type> |
| 166 | + <parameter_type source_parameter_type="ParameterType_Float">*ParameterNumber</parameter_type> |
167 | 167 | <key>classifier.svm.gamma</key>
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168 | 168 | <name>Parameter gamma of a kernel function (POLY / RBF / SIGMOID)</name>
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169 | 169 | <description>Parameter gamma of a kernel function (POLY / RBF / SIGMOID).</description>
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172 | 172 | <default>1</default>
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173 | 173 | </parameter>
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174 | 174 | <parameter>
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175 |
| - <parameter_type source_parameter_type="ParameterType_Float">ParameterNumber</parameter_type> |
| 175 | + <parameter_type source_parameter_type="ParameterType_Float">*ParameterNumber</parameter_type> |
176 | 176 | <key>classifier.svm.degree</key>
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177 | 177 | <name>Parameter degree of a kernel function (POLY)</name>
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178 | 178 | <description>Parameter degree of a kernel function (POLY).</description>
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191 | 191 | <default>True</default>
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192 | 192 | </parameter>
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193 | 193 | <parameter>
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194 |
| - <parameter_type source_parameter_type="ParameterType_Int">ParameterNumber</parameter_type> |
| 194 | + <parameter_type source_parameter_type="ParameterType_Int">*ParameterNumber</parameter_type> |
195 | 195 | <key>rand</key>
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196 | 196 | <name>set user defined seed</name>
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197 | 197 | <description>Set specific seed. with integer value.</description>
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