本文整理了Java中water.H2O.free_mem()方法的一些代码示例，展示了H2O.free_mem()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。H2O.free_mem()方法的具体详情如下：
包路径：water.H2O
类名称：H2O
方法名：free_mem

H2O.free_mem介绍

暂无

代码示例

代码示例来源：origin: h2oai/h2o-3

dl.error("_class_sampling_factors", "class_sampling_factors requires balance_classes to be enabled.");
if (_replicate_training_data && null != train() && train().byteSize() > 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() && H2O.CLOUD.size() > 1) {
 dl.error("_replicate_training_data", "Compressed training dataset takes more than 90% of avg. free available memory per node (" + 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() + "), cannot run with replicate_training_data.");

代码示例来源：origin: h2oai/h2o-3

if (bytes < H2O.CLOUD.free_mem() / 2) {
 Log.info("Automatically enabling data caching, expecting to require " + PrettyPrint.bytes(bytes) + ".");
} else {

代码示例来源：origin: h2oai/h2o-3

dl.error("_class_sampling_factors", "class_sampling_factors requires balance_classes to be enabled.");
if (_replicate_training_data && null != train() && train().byteSize() > 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() && H2O.CLOUD.size() > 1) {
 dl.error("_replicate_training_data", "Compressed training dataset takes more than 90% of avg. free available memory per node (" + 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() + "), cannot run with replicate_training_data.");

代码示例来源：origin: ai.h2o/h2o-algos

dl.error("_class_sampling_factors", "class_sampling_factors requires balance_classes to be enabled.");
if (_replicate_training_data && null != train() && train().byteSize() > 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() && H2O.CLOUD.size() > 1) {
 dl.error("_replicate_training_data", "Compressed training dataset takes more than 90% of avg. free available memory per node (" + 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() + "), cannot run with replicate_training_data.");

代码示例来源：origin: ai.h2o/h2o-algos

if (bytes < H2O.CLOUD.free_mem() / 2) {
 Log.info("Automatically enabling data caching, expecting to require " + PrettyPrint.bytes(bytes) + ".");
} else {

代码示例来源：origin: ai.h2o/h2o-algos

dl.error("_class_sampling_factors", "class_sampling_factors requires balance_classes to be enabled.");
if (_replicate_training_data && null != train() && train().byteSize() > 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() && H2O.CLOUD.size() > 1) {
 dl.error("_replicate_training_data", "Compressed training dataset takes more than 90% of avg. free available memory per node (" + 0.9*H2O.CLOUD.free_mem()/H2O.CLOUD.size() + "), cannot run with replicate_training_data.");